Staff List

• State level committee member for Curriculum Development for the state of Andhra Pradesh appointed by AP-State Council for Higher Education ( APSCHE) for  Computer Science & Engineering
• Confidential Team Member EAMCET-2014, EAMCET-2017
• Confidential Team Member AP-POLICE RECRUITMENT BOARD 2016, 2017
• Academic advisor to National Cyber Safety and Security Standards (NCSSS),Newdelhi
• Expert Visit Committee ( EVC ) Member -AICTE
• Resource Person on Out Come Based Education ( OBE)
• Resource Person on-IOT Security & Frame Work organized by Collectorate of Vizianagaram.
• Resource Person on- Emerging Fiber Net organized by Collectorate of Vizianagaram.
• Resource Person to UGC-Academic Staff College, JNTU-Hyderabad.
• APJ Abdul Kalam award for teaching excellence ,2019, Marina Labs,Chennai.
• Best Researcher Award from JNUK, Kakinada on 28^th December , 2018.
• Received VIDYA RATAN award from T.E.H.E.G, New Delhi, for the year 2011.
• Achieved 2nd rank in non-gate examination conducted by JNTU  Hyderabad for M.Tech Admissions
• Appointed as a JNTUK-UCEV Nodal Officer for Human Capital Management (HCM) from 24.08.2020 to till date.

Post Doc. University of Missouri-Columbia (May2019 to August 2019)

Ph.D.     Oct, 2010,Department of Computer Science & Engineering,

JNTUH, Hyderabad, Andhra Pradesh, India.

• Advisor: Prof. V. Kamaskhi Prasad
• Area of Study: Speech Processing

M.Tech., Computer Science & Engineering, 2003.

• JNT University, Hyderabad, Andhra Pradesh, India.
• Division: Distinction (79%)

B.Tech., Computer Science & Engineering, 1999.

• Acharaya Nagarjuna University (Siddhartha Engineering College,Vijayawada), Andhra Pradesh, India.
• Division: Distinction (71%)

EAMCET :1284 State Rank in 1995.

INTERMEDIATE: K S R & M Arts & Science College, Nellore (Dt) with 86.6% in 1994.

S.S.C: Govt.Junior College, Sullurupeta, Nellore (Dt) with 75% in 1992.

• 19+ Years of teaching experience.
• 12 + Years of Research Experience.
• Presently Supervising Four Students at JNTU-Hyderabad and JNUK-Kakinada
• Acted as examiner for setting question papers of B.Tech , M.Tech and Ph. D.

• Officer In-Charge of Hostel,  from June, 2013 to Jan, 2017
• Head of the Department, 18^th Jan 2016 to 16^th  Dec 2018
• IQAC Coordinator from,14th March 2019 to17th Jan 2020
  
• NBA Coordinator from,7th March 2019 to till date.
  

• Speech Processing
• Pattern Recognition
• Artificial Intelligence
• Cloud Computing

1. Dr R.Rajeswara Rao, Mr. D. Murali  Software Engineering-A New Approach (Traditional and Agile Methodologies) BSP Publications ISBN: 9789387593756 ,2018.
2. Dr R.Rajeswara Rao , M. Sridevi,  Dr.M.Varaprasad Rao, Search   optimization   to select an item across e- commerce platforms: App Development,  for the upcoming book Improving E- Commerce Web Applications through Business  Intelligence Techniques ,IGI   Publications, 2017
3.   Dr R. RajeshwaraRao  & V. Subba Rammaiaha Cloud Computing & Virtualization, BSP Publications,               ISBN:978- 9383635047 2014
4.   Dr R. Rajeswara Rao, V. Kamakshi Prasad, Automatic Text Independent Speaker Recognition using Source Feature,(ISBN 978-3-659-10800-6), Lap LABERT Publishing GmbH Co. KG,Germany, 2012.

• Artificial Intelligence
• Formal Languages and Automata Theory
• Compiler Design
• Bio Metrics
• Pattern Recognition
• Speech Processing
• Image Processing
• Software Engineering
• Software Project Management.

• Member-IEEE, MCSI
• Member, Editorial Board of International Journal of Soft Computing
• and Engineering (IJSCE).
• Member, Editorial Board of Seventh Sense Research Group
• Member, Board of Studies-JNTUK University College of Engineering, Vizianagaram
• Member, Faculty Selections for Private Colleges, JNTUK,Kakinada

• Organized a one week workshop on “Research Challenges and Issues in Big Data and Cloud Computing”, 27th to 31stJanuary 2015, JNTUK –UCEV
• Organized a two day National Level workshop on “Resent Research Trends in Computer Science and Information Technology”., 21st and 22^nd June 2013, JNTUK –UCEV
• Chaired-Two Day National Workshop on “Fog Computing and Internet of Things” on 28th and 29th March, 2016

2017:

1. Attended “Two Day Instructional Workshop on Python Programming “during 1^st & 2^ndJuly, 2017, JNTUK, UCEV, Vizianagaram.

2016:           

1. Attended Two Day Workshop on Fog & IoT, 28^th & 29^th March, 2016, JNTUK- UCEV, Vizianagaram

2015:                                  

1. Organized a one week workshop on “Research Challenges and Issues in Big Data and Cloud Computing”, 27^th to 31^stJanuary 2015, JNTUK –UCEV

2014

1. Attended one day Pre-conference workshop on Advanced Computing and Pattern Recognition, 7^th Jan, 2014, JNTUK-UCEV
2. Attended two day National workshop on Pattern Recognition & It’s Applications, 19^th and 20^th Mar, 2014, JNTUK-UCEV, Vizianagaram

2013:

1. Attended One Week workshop on “Cloud Computing” 2013, HYD,2013, Mallareddy institute of technology.
2. Organized a two day National Level workshop on “Resent Research Trends in Computer Science and Information Technology”., 21st and 22^nd June 2013, JNTUK –UCEV
3. Attended one day workshop for Training Resource Persons on Outcome Based Accreditation -Phase-I, 13^th September, 2013, JNTUK –UCEV.
4. Attended one day workshop for Training Resource Persons on Outcome Based Accreditation -Phase-I, 29-04-2013, JNTUK
5. Attended one day workshop for Training Resource Persons on Outcome Based Accreditation-Phase-II, 16-18, May 2013, JNTUK
6. Attended two day Orientation Programme for Faculty, 16-17 July, 2013, JNTUK-UCEV
7. Two day National workshop on Rough Sets and Knowledge Technologies, 10^th and 11^th Nov, 2013, JNTUH
8. Attended HOD and Faculty Orientation Program conducted by CoEeRD, 26^th August, 2014, JNTUK-UCEV
9. Attended one day workshop on Outcome Based Engineering Education, 17^th Feb, 2013, JNTUK
10. Attended one day National Workshop on Big Data Analytics and Cloud Computing, 29^th June, 2013, JNTUK-UCEV
11. Attended three day workshop for Training Resources Persons on Outcome Based Accreditation-Phase II, 26^th -28^th Sep, 2013
12. Attended one day workshop on MATLAB & Simulink for Engineering Education, 7^th Feb 2013, Visakhapatnam
13. Attended two day workshop on Redesigning Curriculum in the Context of Outcome Based Learning, 24-25 February, 2013
14. Attended three days Faculty Development Program on Soft Skills for effective Teaching. 13^th to 15^th June, 2013.

2012

1. Two-Day National Workshop on ” Research Opportunities in Computer Science and Information Technology”, CBIT, January 27-28, Hyderabad,2012.
2.  A Two-Day National Workshop on ” Speech Processing”, MGIT, February 17-18, Hyderabad, 2012.
3. National Seminar on Automata Compiler Design, SrideviWomens Engineering College, July 20-21, Hyderabad, 2012.
4. Recent Trends in Cloud Computing and Virtualization, VVIT, Sep 13-15, Hyderabad, 2012.

2010:

1. Winter School on Speech and Image Processing (WISP),IIIT, Hyderabad, 2010.

2009:

1. Winter School on Speech and Signal Processing (WiSSAP),IIT, Kharagpur, 2009.       
2. Winter School on Speech and Image Processing (WISP),IIIT, Hyderabad, 2009.

  2007:

1. Winter School on Speech and Signal Processing (WiSSAP),IIT, Madras, 2007.

2006:

1. Winter School on Speech and Signal Processing (WiSSAP),IISc, Bangalore,2006.

International Conferences:

2019

1. Dr. R.Rajeswara Rao., et. al “Dynamic Computation Off-loading and Control based on Occlusion Detection in Drone Video Analytics”. ICDCN-2020

2018

1. Dr. R.Rajeswara Rao ., et. Al “ Prototype Selection of Online Handwritten Telugu Characters Recognition Using Voronoi Tessellation  Computational Intelligence in Data Mining Proceedings of the International Conference on ICCIDM 2018

 2017      

1. R.Rajeswara Rao., et. al “Finding Right Doctors and Hospitals: Personalized  Health Recommender “ ICTCS 2017, Udaipur, Springer LNNS series .
2. Naga Padmaja, R. Rajeswar Rao, “Exploring Emotion Specific Features For Emotion Recognition System Using PCA Approach”, International Conference on Intelligent Computing and Control Systems (ICICCS) , 978-1-5386-2745, IEEE 2017
3. Naga Padmaja, R. Rajeswar Rao, “Analysis of Speaker Independent Emotion Recognition System Using Principle Component Analysis (PCA) And Gaussian Mixture Models (GMM)”, International Journal of Engineering Technology Science and Research, (IJETSR), ISSN 2394 – 3386, Volume 4, Issue 12, December 2017. pp. 767-778.
4. Ashlin Deepa R N, Rajeswara Rao R, ”An Eigen characters method for Recognition of Handwritten Tamil Character Recognition”, Proceedings of the First International Conference on Intelligent Computing and Communication, Advances in Intelligent Systems and Computing 458,

      2016              

1. Rajeswara Rao V and. Subba Ramaiah, “Slope at zero crossings (zc) of speech signal for multi-speakeractivity detection”, In proceedings of ICECE-16, JNTUK-UCEV, Vizianagaram, 29th – 30th July, 2016.
2. R.Rajeswara Rao, et. al “An Enhanced Personalized Recommendation Utilizing Expert’s Opinion via Collaborative Filtering and Clustering Techniques”, ICICT-2016, IEEE Explore, 978-1-5090-1286-2, Aug 2016
3. R.Rajeswara Rao, et. al  “Recommendation System   for Smart Mobile Phone selection through e-commerce website using TOPSIS algorithm “, NCCSIGMA 16, IJAERS, ISSN: 2349-6495, Dec 2016.               
4. Rajeswara Rao and V. Subba Ramaiah and, “Multi-speaker activity detection using zero crossingrate”, In proceedings of ICCSP-16, Adhiparasakthi Engineering College, pp. 18-21, April 8-9, 2016, Chennai.   (Published in IEEE Explore). 
5. Naga Padmaja, R. Rajeswar Rao, “Exploring Spectral Features for Emotion Recognition Using GMM” Vol. 14 ICETCSE 2016 Special Issue International Journal of Computer Science and Information Security (IJCSIS) ISSN 1947-5500 pp 46-52.

2015:

1. Rajeswara Rao et.al. Developing Telugu CCG Resources from the    Dependency Treebank. In  Proceedings of 2015, May, Pacific Association for computational linguistics, pg :212-217, Bali,Indonesia.
2. Rajeswara Rao et.al., Exploring different statistical parsers for parsing Telugu, In Proceedings of 2015, May Pacific Association for computational linguistics   pg:  41-46, Bali,Indonesia.
3. Rajeswara Rao et.al.,A Cluster Based Distributed Key Architecture Scheme for MANETS, ICPCIT-15, April, Chennai, India
4. Rajeswara Rao et.al Exploring Prosodic Features for Emotion Recognition Using Gaussian Mixture Models (GMMs),(ICICSIT-15), Aug 28-29,2015, Hyderabad, India.
5. Rajeswara Rao et.al Automatic Text-Independent Emotion Recognition, ICICSE-15, Aug 7th -8th, 2015, Hyderabad, India
6. Rajeswara Rao et.al A Survey of Telugu Script Recognition Schemes, IEEE-ICBDM-15, 27th-28th, Feb-15, Tamilnadu-India

2014:

 Rajeswara Rao et.al. Exploring transition-based and graph-based parsers for Telugu Dependency Parsing, In proceedings of ICRSKT-2014, Nov JNTUH, Hyderabad.

1. Rajeswara Rao et.al. Efficient resource reservation policies for effective resource management using reservation pool, Second International Conference on Emerging Research in Computing, Information, Communication And Applications - ERCICA-2014, August 01 - 02, 2014, Bangalore, India.
2. Rajeswara Rao et.a,l A novel approach for protected scalable in cloud computing, NECICC-14, August 1-2, Guntur.
3. Rajeswara Rao et.al. Effective resource management techniques using reservation pool, IEEE International Conference on Recent Advances & Innovations in Engineering (ICRAIE-2014), May 09-11, 2014 Feature Extraction Techniques for Recognition of, ICETETS 2014, 25-25 Feb, 2014.

  2013:

1.  Rajeswara Rao et.al.A Medial Node Based Privacy Approaches for Preventing Selective Jamming in Wireless Networks, IEEE ISPCCC, September-28, 2013.
2. Rajeswara Rao et.al. Based Approaches for Preventing Selective Jamming in Wireless Networks, ICEECP, GOA, April-2013.

National Conferences:

2014:

1.  R. Rajeswara Rao et.al.,Combining Malt & MST for Telugu dependency parsing. In proceedings of ACPR-2014,   Oct,, JNTU College of Engineering Jagityala

2013:

1. Rajeswara Rao et.al.Improving the usability of Statistical Parsers by incorporating linguistic constraints, in proceedings of NCRTCST, 2013 Hyderabad.
2. Rajeswara Rao et.al.National Conference on Emerging Trends of Computing Technologies, 2013
3. Rajeswara Rao et.al.Modeling Prosodic features for Automatic Text-Independent Speaker Indexing System using Support vector machine (SVMs),National Conference on Recent Trends In Information Technology-2013, 23rd & 24th March 2013.
   

2012:

1.  R. Rajeswara Rao et.al. Hindi Dependency Parsing using a combined model of Malt and MST Workshop on Machine Translation and Parsing in Indian Languages (MTPIL-2012), IIT-BOMBAY. COLING 2012.
2. R. Rajeswara Rao et.al. An effective air traffic management for whether prediction Using HMMs, ICRAMAV, ,     pp.228-235, JNTUH.
3.  R.Rajeswara Rao et.al., A Multiset Approach for Recognition of Handwritten Characters Using Puzzle Pieces, SIPM-2012, Chennai, Aug, 2012.
4. R. Rajeswara Rao et.al., Exploring a New Set of Source Features for Automatic Text-Independent Speaker Recognition, AIRES-2012, Andhra University, May,2012.
5.  R.Rajeswara Rao et.al., Tracking Down of Phishing WebPages Strategy Predicate on Ocular Correlation, AIRES-2012, Andhra University, May,2012.

2011:

1. R. Rajeswara Rao et.al., Design and Implementation of Web Usage Mining Intelligent System in the Field of e-Commerce, ICCTSD, Indexed in Elsevier Publications, Coimbatore, 2011.

2010:

1. 1. R. Rajeswara Rao, A. Nagesh V. Kamakshi Prasad, Performance evaluation of Parametric approaches For Text Independent Language Identification System,Proceedings of IEEE VCON10, Warangal, 2010.

2009:

1. R. Rajeswara Rao, V. Kamakshi Prasad, Source features for speaker recognition using ergodic hidden markov model, Proceedings of IEEE IACC, pp.3209-3214, Patiala, 2009.

2008:

1. R. Rajeswara Rao, V. Kamakshi Prasad, A novel approach to extract speaker specific features for text independent speaker recognition, Proceedings of RACE-2008,Osmania University, Hyderabad.
2. R. Rajeswara Rao and V. Kamakshi Prasad, Effect of LP Order for speaker recognition using Gaussian mixture models, IACCT,pp.492-497, Panipat, Haryana, 2008.

  2020:

1. Rajeswara Rao, et.al Using Expert based Preference Elicitation for Collaborative Filtering Recommender Systems, International Journal of Control and Automation, Vol. 13, No. 2, (2020), pp. 592 – 598, ISSN: 2005-4297, http://sersc.org/journals/index.php/IJCA/article/view/11201 Scopus Indexed.
2. Rajeswara Rao, et.al Efficient Mechanism for Optimizing Execution Speed of RSA-AES in the Cloud using Whale Optimization Algorithm, International Journal of Advanced Science and Technology, Vol. 29, No. 7, (2020), pp. 2263-2274, ISSN:2005-4238, http://sersc.org/journals/index.php/IJAST/article/view/17964 Scopus Indexed.
3. Rajeswara Rao et.al A Framework for Multi-Objective and Comprehensive Analysis of Web User Behavioural Patterns International Journal of Advanced Science and Technology (IJAST), Vol. 29, No. 3, (2020), pp. 1003-1015, ISSN: 2207-6360 http://sersc.org/journals/index.php/IJAST/article/view/4180 Scopus Indexed.
4. Rajeswara Rao et.al An Integrated Frame work for SLA-Aware Multi Objective Task Scheduling in Cloud Computing 2020
5. Rajeswara Rao et.al Brain Image Classification Using Dual-Tree M-Band Wavelet Transform and Naïve Bayes Classifier. In: Solanki V., Hoang M., Lu Z., Pattnaik P. (eds) Intelligent Computing in Engineering, Advances in Intelligent Systems and Computing, vol 1125. Springer, Singapore, ISBN 978-981-15-2780-7, https://doi.org/10.1007/978-981-15-2780-7_69, Springer
6. Rajeswara Rao et.al Brain Image Classification Using Dual Tree M-Band Wavelet Transform and Naive Bayes Classifier. Advances in Intelligent Systems and Computing, 3rd & 4th April 2019 pp.635-642, ISBN 978-981-15-2780-7, DOI: 10.1007/978-981-15-2780-7_69, Springer

2019:  

1. Rajeswara Rao, R , Ashlin Deepa, R.N. A novel Nearest Interest Point  classifier for offline Tamil Handwritten character recognition, Pattern Analysis and Applications, Springer (Accepted) Pattern Analysis and Applications, Springer. SCOPUS INDEXED (2019). https://doi.org/10.1007/s10044-018-00776-x.
2. Rajeswara Rao , J. Naga Padmaja, ,Telugu Based Emotion Recognition System using Hybrid Features, International Journal of Computer Applications, (IJCA)0975 – 8887, Volume 182 – No. 37, January 2019 .
3. Radha Krishna, R. Rajeswara Rao, Robust Spectral Features for Emotion Recognition using GMM and SVM with PCA, free Scopus Indexed Journal, Journal of Recent Technology and Engineering, IJRTE, 2019
4. Rajeswara Rao, et. al Prototype Selection of Online Handwritten Telugu Character Recognition Using Voronoi Tessellation,ICCIDM-2019.
5. Rajeswara Rao, et. al , Online Handwritten Indian Character Recognition and its Extension to Telugu Character Recognition , International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7, Issue-6S5, April 2019
6. Sridevi, Dr.R.RajeswaraRao,Personalized Recommender by exploiting domain based expert for enhancing Collaborative Filtering Algorithm : PReC, International Journal of Advanced Computer Science and Applications, Vol. 10, No. 3, 2019.

         2018:

1. Rajeswara Rao, et. al , GMM-PCA based Approach for Emotion Recognition Using Spectral Features , Journal of Adv Research in Dynamics & Control Systems( JARDCS) , 2018
2. Radha Krishna, R. Rajeswara Rao, GMM–PCA based approach for Emotion RecognitionusingSpectral Features, free Elesiver Scopus Indexed Journal, Journal of Advanced Research in Dynamical & Control Systems, Vol.10, 04 2018, ISSN: 1992-8645, E-ISSN: 1817-3195, pp. 4044-4054.
3. Radha Krishna, R. Rajeswara Rao, SVM–PCA based approach for Emotion Recognition using Spectral Features, free Elesiver Scopus Indexed Journal, Journal of Advanced Research in Dynamical & Control Systems, Vol.10, 11, 2018, ISSN: 1943-023X,pp.982-993.
4. Rajeswar Rao , J. Naga Padmaja, ,Performance improvement and analysis of speaker independent emotion recognition system   using i-vectors, Journal of Theoretical and Applied Information Technology, Vol.96.   No 13, ISSN: 1992-8645, E-ISSN: 1817-3195, pp. 4044-4054

           2017:              

1. Rajeswara Rao and V. Subba Ramaiah  Speaker Diarization System using   HXLPS and deep neural   network,  Alexandria Journal- ELSEVIER Journal, Jan., 2017.
2. Rajeswara Rao, et.al.  A Modified GA Classifier for offline Tamil Handwritten Character Recognition. Int. Journal of Applied Pattern Recognition ( Inder Science) Vol-4, No-1, 2017.
3.  R.Rajeswara Rao, et.al  DECORS: A Simple and Efficient Demographic Collaborative Recommender System for Movie Recommendation Advances in Computational Sciences and Technology ISSN 0973-6107 Volume 10, Number 7 (2017) pp. 1969-1979.
4. Radha Krishna, R. Rajeswara Rao, SVM based Emotion Recognition using Spectral Features and PCA, International Joural of Pure and Applied Mathematics , Vol. 114, No. 9, ISSN 1311-8080. pp. 227-235,2017
5. R.Rajeswara Rao, et. al Exploiting  Experts opinion via  Collaborative Filtering Approach using User Demographics and Clustering, Journal of Adv Research in Dynamical & Control Systems, 15-Special Issue, October 2017 [Elsevier Scopus].
6. Rajeswara Rao , J. Naga Padmaja, Analysis And Identification Of Emotion Specific Features For Speaker Independent Emotion Recognition System Using Gaussian Mixture Models (GMMs)  Advances in Computational Sciences and Technology, (ACST)ISSN 0973-6107 Volume 10, Number 8 (2017) pp. 2491-2505
7. Rajeswara Rao , et.al Preprocessing of online handwritten Telugu character recognition, International Journal of Advanced and Applied Sciences, 4(7) 2017, Pages: 179-189
8. Rajeswara Rao , J. Naga Padmaja, ,Performance Improvement And Analysis Of Speaker Independent Emotion Recognition System Using I-vectors, Journal of Theoretical and Applied Information Technology (JATIT), Vol.96. No 13, ISSN: 1992-8645, E-ISSN: 1817-3195, pp. 4044-4054.
9. Radha Krishna, R. Rajeswara Rao, Exploring Robust Spectral Features For Emotion Recognition using Statistical Approaches, 6th IEEE International Conference on Communications and Signal Processing, April 6-8, 2017, India

            2016:          

1. Rajeswara Rao B. Venkata Seshu Kumari , Two Approaches for incorporating Linguistic Constraints to improve the usability of Telugu Dependency Parser. International  Journal of  Applied  Pattern Recognition (inderscience publications.Vol3, issue2,2016)
2. Rajeswara Rao  and V. Subba Ramaiah  Speaker Diarization System Using        MKMFCC Parameterization and WLI-Fuzzy Clustering, Springer- International Journal of Speech Technology (IJST), Vol. 19, Issue 4,  pp. 945–963, Dec. 2016.
3. Rajeswara Rao and V. Subba Ramaiah and, A Novel Approach for Speaker Diarization System using TMFCC Parameterization and Lion Optimization, Journal of Central South University, Springer, Sep. 2016.
4. Sridevi, Dr.R.RajeswaraRao, Dr.M.VaraprasadRao, A Survey on Recommender System, International Journal of Computer Science and Information Security,Vol. 14, No. 5, May 2016, ISSN 1947-5500
5. Rajeswara Rao and V. Subba Ramaiah and, Slope at zero crossings (zc) of speech signal for multi-speaker activity detection, IJCI, Vol. 5, No. 4, August 2016.
6. Rajeswara Rao &  R Ashlin Deepa, R.N.. (2016). An efficient offline Tamil handwritten character recognition system using zernike moments and diagonal-based features, International Journal of Applied Engineering Research ISSN 0973-4562 Volume 11, Number 4 (2016) pp2607-2610, SCOPUS INDEXED. 
7. Rajeswara Rao , J. Naga Padmaja, A comparative study of  silence and non silence regions of speech signal using prosody features , IJCSE, Vol. 7 No. 4, Aug-Sep 2016, ISSN : 0976-5166, pp 153- 161.

  2015:

1.  Rajeswara Rao et.al, Telugu dependency parsing using different statistical parsers, ACM –TALIP, Vol. 14, No. 1, Article 3, ISSN:1530-0226 EISSN:1558-3430
2. Rajeswara Rao et.al, Improving Indian Language Dependency Parsing by Combining Tran sition-based and Graph-based parsers, International Journal of Computer Applications (IJCA) Volume 115 – No. 5, ISSN: 0975 – 8887, Impact Factor: 3.12.
3. Rajeswara Rao et.al, Automatic Text-Independent Emotion Using Spectral Features, Journal of Innovation in Computer Science and Engineering(JICSE), Vol 5, Issue-1, ISSN 2278-0947.
4. Rajeswara Rao et.al, Preprocessing of HP Data Set Telugu strokes in Online Handwritten Telugu Character Recognition,IJCTA,8(5),2015,pp,1939-45,
5. Rajeswara Rao et.al, Data Resources Portions in cloud using Describe Data, IJMETMR : International Journal & Magazine of Engineering, Technology, Management and Research, Vol:2(2015), Issue:11, ISSN: 2348-4845, Impacct Factor: 2.6250.
6. Rajeswara Rao et.al, Performance Evaluation of Statistical Approaches for Automatic Text-Independent Gender Identification System, (IJCSIS) International Journal of Computer Science and Information Security, Volume 4, Jan-15, Issue 1, ISSN:2277-9655, Impact Factor: 0.438.
7. Rajeswara Rao et.al, A Hybrid Parsing Approach for Telugu Dependency Parsing, Volume 5,Issue 9 of IJARCSSE.Sept-2015, ISSN:2277 128X, Impact Factor: 2.08.
8. Radha Krishna, R. Rajeswara Rao, Automatic Text- Independent Emotion Recognition Using Spectral Features, 3rd International Conference on Innovations in Computer Science & Engineering (ICICSE), 7th and 8th August 2015.

    2014:

1. Rajeswara Rao et.al ,Automatic text-independent speaker tracking system using feed-forward neural networks     (FFNN), International journal of computer engineering & Technology (ijcet), Vol 5, Issue-1, July-15, ISSN 2278-0947, Impact Factor: 6.1302.
2. Rajeswara Rao et.al, Feature Extraction Techniques for Recognition of Malayalam Handwritten       Characters: Review, International Journal of Advanced Trends in Computer Science and Engineering, Vol.   3(1), 2014,Page(s) : 481– 485., ISSN:2278-3091, 0.38.
3.  Rajeswara Rao et.al, Telugu dependency parsing using different statistical parsers, Elsevier Journal of King Saud University - Computer and Information Sciences (Accepted for publication in December, 2014,  ISSN: 1319-1578, Impact Factor: 2.274.
4. Rajeswara Rao et.al, Robust Features Based Automatic Text-Independent Gender Identification System Using Ergodic Hidden Markov Models (EHMMs), International Journal Of Engineering And Computer Science Vol 3, Issue-8, Aug-14, ISSN- 2319-7242, Impact Factor: 3.093.
5. Rajeswara Rao et.al, A Comprehensive Survey of Personalized Recommender Systems, IJCST, Vol-5, Issue-3, July-14, ISSN:2229-4333, 5.09
6. Rajeswara Rao et.al ,A survey on Encryption and improved virtualization security techniques for cloud infrastructure, GJCST, volume 14,issue 2,2014, ISSN: 0975-4172, ISSN: 0975-4350.
7. R.Rajeswara Rao,et.al A Comprehensive Survey of Personalized Recommender Systems,  International Journal of Computer Science and Technology, Vol. 5, Issue 3, July - Sept 2014, ISSN : 0976-8491.
8. R.Rajeswara Rao, et.al A Survey on     Recommender System International Journal of Computer Science and  Information Security, Vol. 14, No. 5, May 2016, ISSN 1947-5500
9. Rajeswara Rao et.al , Automatic text-independent speaker tracking system using feed-forward neural networks (FFNN), IJCET, Volume 5, Issue 1, pp. 11-20, January 2014. ISSN: 2277 – 4106, Impact Factor: 5.126
10. Rajeswara Rao et.al, Robust Feature Based Automatic Text-Independent Gender Identification System Using GMM, IJERA, Vol:4, Issue-1,Jan-14, pp:134-138, , ISSN:2248-9622, Impact Factor: 1.69
11. Rajeswara Rao et.al ,Sophisticated Approaches in Virtual Machines for Safe Cloud Service, Global Journals Inc. (USA), Vol-14, Issue-2, 2014, ISSN:0975:4350
12. Rajeswara Rao et.al, Automatic Speech Processing Using HTK For Telugu Language, IJAET, ISSN: 22311963

    2013:

1.  Rajeswara Rao et.al, Modeling Speaker Specific Features for Automatic Text Independent Speaker Tracking System using Support Vector Machines (SVMs), IJESPR, Vol. 05, Issue 01, pp. 18-26, ISSN: 430–451, Impact factor: 0.567
2. Rajeswara Rao et.al, Improving the usability of statistical parsers by incorporating linguistic constraints, IJECCE vol4,Issue(6) ISSN: 2249-071, Impact Factor: 1.0909
3. Rajeswara Rao et.al ,Sophisticated Approach in Virtual Machines for Safe Cloud Service, IJCA,   Vol-36, Issue-2, Aug-2013, ISSN:2051-0845, Impact Factor: 3.12
4. Rajeswara Rao et.al, Effective Throughput Based Approaches in Avoiding Selective Jamming Attack by Achieving Privacy in Wireless Networks, IJECCE, X Vol-4, Issue-4, July-2013, ISSN: 2249-071, Impact Factor: 1.0909
5. Rajeswara Rao et.al , A Medial node based privacy Approaches for Preventing Selective Jamming in Wireless Networks, Volume -1, Issue -3, IEEE-, April 2013, ISSN: 2320-8945, Impact Factor: 4.934.
6. Rajeswara Rao et.al Modeling Speaker Specific Features for Automatic Text Independent Speaker Tracking System using Support Vector Machines (SVMs), IJESPR, Vol. 05, Issue 01, pp. 18-26, June 2013, ISSN: 430–451, Impact Factor: 0.567
7. Rajeswara Rao et.al, Performance Evaluation of Different Modeling Techniques for Text-Independent Speaker  Recognition System, IJARCSSE, Vol-3,Issue-11, Nov-2013,, ISSN:2277-128X, Impact factor: 2.080
8. Rajeswara Rao et.al, Classification of Web Services Using JForty Eight, International Journal of Electronics Communication and Computer Engineering, Volume 4, Issue (6) NCRTCST-2013, ISSN 2249–071X, Impact Factor: 1.2456.
9. Rajeswara Rao et.al, Improvement in Efficiency of Recognition of Handwritten Telugu Script, IJIES, Volume-2, Issue-1, December - 2013, ISSN: 2319-9598, Impact Factor: 1.15
10. Rajeswara Rao et.al, Online Hand written character recognition for telugu language using SVM, IJEAT, Vol-3, Issue-2, Dec-13, ISSN:2249-8958, Impact Factor: 1.121

2012:

1. Rajeswara Rao et.al., Content Based Image Retrieval System Consume. Semantic Gap, IJCSIT, Vol. 3(5), 2012, Nov, 2012.
2. Rajeswara Rao et.al., Performance Evaluation of On Demand HRP in MANETS,IJCSET, Vol 2, Issue 6,1292-1294, June 2012.
3. Rajeswara Rao, V. Subbaramaiaha, Analysis and Proposing a Robust Source Features for Automatic Text-Independent Speaker Indexing System, CSEIJ, Volume 2 Issue 4, August, 2012.(impact factor 0.7).
4. Rajeswara Rao, A. Prasad, Ch. Kedarirao, Robust Features for Automatic Text-Independent Speaker Recognition Using Ergodic HMM, JDSP(Journal of Digital Signal Processing), Volume 7 Issue 1, March,2012.(impactfactor 0.769).
5. Rajeswara Rao, A. Prasad, Ch. Kedarirao, Performance Evaluation of Statistical Approaches For  Text-Independent Speaker Recognition System Using Robust Features, IJCSI, Volume 9 Issue 1, Jan,2012.(     Indexedin Elsevier Publications )(impact factor 0.242)

2011:

1. Rajeswara Rao, A. Prasad, Ch. Kedarirao, Robust Features for Automatic Text-Independent Speaker Recognition Using Gaussian Mixture Model, IJSCE, Volume 1 Issue 5, Nov,2011.(impact factor 0.21)
2. Rajeswara Rao, A. Prasad, Glottal Excitation Feature Based Gender Identification System Using Ergodic HMM, IJCA, Volume 17, Number 3, March,2011.(impact factor 0.835)
3. Rajeswara Rao, A. Prasad, Performance Evaluation of Statistical Approaches For Text-Independent Gender Identification System Using Source Feature, IIJC, Volume 1 Issue 2, April,2011.
4. Rajeswara Rao, A. Nagesh, Source Feature Based Gender Identification System Using GMM, IJCSE, Volume 3 Number 2, Feb,2011.(impact factor 0.48)
5. Rajeswara Rao, A. Prasad, Performance evaluation of Statistical Approaches For Text-Independent Language Identification System, IJCSC, Volume 2 Number 1, March,2011.(impact factor 0.475)

2010:

1. Rajeswara Rao, V. Kamakshi Prasad, A. Nagesh, Performance evaluation of Statistical approaches for Text independent speaker recognitionusing source feature ,InterJRI - Computer Science and Networking Volume2 Issue 1, August 2010.

2009:

1. R. Rajeswara Rao and V. Kamakshi Prasad, Effect of LP Order for speaker recognition using Gaussian mixture models, IJCSCT, vol.I, Jan ’09, pp.121-127.

2008:

1. R. Rajeswara Rao, V. Kamakshi Prasad, Source features for speaker Recognition using Gaussian mixture  models, JNTU, vol. II, No. 3, Nov 2008, pp. 59-68.

2007:

1. R. Rajeswara Rao, A. Nagesh, V. Kamakshi Prasad, K. EphrainBabu,Text dependent speaker recognition system   for Indian language, IJCSNS,Nov 30, 2007, pp. 65-71, vol. 7 No.11.

1. A systematic architecture of Big Data IoT Cloud Application Challenge Review with emerging Fog and Edge Computing published in IET Hand books on Data Analytics.
2. Prototype Selection of Online Handwritten Using Voronoi Tessellation published in Advances in Intelligent Systems and Computing book series (ASIC volume 990)
3. Search Optimization to select an item across e-commerce platforms: App Development for the book Improving E-Commerce Web Applications through business Intelligence Techniques IGI Publications