A.Lakshmanarao

EDUCATIONAL QUALIFICATIONS:

• Completed SSC in 1997 at  Sarada Vidyalayam, Sathupally.

• Completed Intermediate in 1999 at Gowtham Junior College, Vijayawada .

• Completed B.Tech in CSIT in 2005 at BVC Engineering College,Odalarevu.

• Completed M.Tech in Software Engineering in 2007 at Godavari Institute of Engineering & Technology(GIET), Rajahmundry .

• Pursuing Ph.D. in Andhra University.

Papers published

• A .Lakshmanarao, K.S.V.Ratnakar, M.Naveen Kumar, Y. Satwika, “Crop Yield Prediction using Machine Learning Techniques”,International Conference on Applied Artificial Intelligence and Computing, 4-6,May 2023, Salem, India.

• A.Lakshmanarao, M.Shashi, “An Efficient IoT Based Night Patrolling Robot For Women's Safety”, Dogo Rangsang Research Journal, UGC Care Group I Journal,Vol-13, Issue-4, No. 5, April 2023,ISSN : 2347-7180.

• D. M. V. Rajesh, A. Lakshmanarao and D. C. Gupta, “An Efficient Machine Learning Classification model for Credit Approval,” 2023 Third International Conference on Artificial Intelligence and Smart Energy, Coimbatore, India, 2023.

• A.Lakshmanarao, M.Shashi, “Android Malware Detection using Multilayer Autoencoder and Random Forest”, International Journal of Engineering Trends and Technology, Volume 70 Issue 11, 249-257, November 2022,Crossref, https://doi.org/10.14445/22315381/IJETT-V70I11P227.

• A.Lakshmanarao, A.Srisaila,T.S.Ravi Kiran,G.Lalitha,& K, V. K. (2022), "Life Expectancy Prediction through Analysis of Immunization and HDI Factors using Machine Learning Regression Algorithms", International Journal of Online and Biomedical Engineering (iJOE), 18(13), pp. 73–83. https://doi.org/10.3991/ijoe.v18i13.33315,October,2022

• A. Lakshmanarao, M. R. Babu, C. Gupta and A. S. G. Lakshmi, "Stock Price Prediction using Deep Learning and FLASK," 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), 15-16 July 2022, pp. 1-5, doi: 10.1109/ICSES55317.2022.9914347.

• A.Lakshmanarao, M.Shashi, "An Efficient Android Malware Detection Framework with Stacking Ensemble Model", International Journal of Engineering Trends and Technology, vol. 70, no. 4, Apr. 2022, pp. 294-302. Crossref, https://doi.org/10.14445/22315381/IJETT-V70I4P226

• A.Lakshmanarao, N.Supriya, A.Arulmurugan, “Plant Disease Prediction using Transfer Learning Techniques”, IEEE Second International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies (ICAECT 2022),21-22-April 2022.

• A.Lakshmanarao, A.Srisaila, T.S.Ravi Kiran, “Twitter Sentiment Classification with Deep Learning LSTM for Airline Tweets”, 8th International Conference on Advanced Computing and Communication Systems (ICACCS),25-26-March 2022.

• A.Lakshmanarao, B.Lokesh, K.Saritha, “An Efficient Mouse Tracking System Using Facial Gestures”, 8th International Conference on Advanced Computing and Communication Systems (ICACCS),25-26-March 2022.

• A.Lakshmanarao, A.Srisaila, T.S.Ravi Kiran, “Machine Learning and Deep Learning framework with Feature Selection for Intrusion Detection”, International Conference On Communication, Computing & Internet Of Things(IC3IOT22),10-11-March 2022.

• A. Lakshmanarao and M. Shashi, “Android Malware Detection with Deep Learning using RNN from Opcode Sequences”, International Journal of Interactive Mobile Technologies, vol. 16, no. 01, pp. pp. 145–157, Jan. 2022.

• Uma Brundavathi,A.Lakshmanarao,“ Loan Default Prediction Using Feed Forward Neural Networks,” Journal of Information and Computational Science, ISSN: 1548-7741, Volume 11 Issue 12,Dec – 2021.

• A.Lakshmanarao,M.Raja Babu,T.Srinivasa Ravi Kiran, “An Efficient Covid19 Epidemic Analysis and Prediction Model Using Machine Learning Algorithms”, International Journal of Online and Biomedical Engineering (iJOE) ISSN: 2626-8493, Vol 17, No 11,November-2021.

• A.Lakshmanarao, M.Raja Babu, M M Balakrishna, "Malicious URL Detection using NLP, Machine Learning and FLASK”, International Conference on Innovative Computing, Intelligent Communication and Smart Electrical systems (ICSES-2021: IEEE conference),24-26-September 2021.

• A.Lakshmanarao, M.Raja Babu, T.Srinivasa Ravi Kiran, "Plant Disease Prediction and classification using Deep Learning ConvNets”, 1st International Conference on  Artificial Intelligence & Machine Vision(AIMV-2021:IEEE Conference),24-26-September 2021.

• A.Lakshmanarao, S.Ushanag, B. Sundara Leela, "Ad Prediction using Click Through Rate and  Machine Learning with Reinforcement Learning”, Fourth IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT 2021:IEEE Conference),15-16-September 2021.

• A.Lakshmanarao, P.Surya Prabhakararao,M.M.Bala Krishna “Phishing website detection using novel machine learning fusion approach”, International Conference on Artificial Intellignece and Smart Systems(ICAIS- 2021:IEEE conference),25-27, March-2021.

• Sridevi Gadde, A. Lakshmanarao, S.Satyanarayana, “SMS Spam detection using Machine Learning and Deep Learning Techniques”, International Conference on Advanced computing & communication Systems(ICACCS- 2021:IEEE conference), 19th,20th March-2021.

• B. Ajay Ram, D.J. Santosh Kumar, A. Lakshmanarao, “Improving efficiency of machine learning model for bank customer data using genetic algorithm approach,” 4th International Conference on Innovative Computing and Communication (ICICC 2021:Springer AISC conference) organized by Shaheed Sukhdev College of Business Studies, University of Delhi, New Delhi In Association with University of Valladolid Spain And National Institute of Technology Patna, 20-21st Feb-,2021.

• T.S. Ravi Kiran, A. Srisaila, A. Lakshmanarao, “Multilevel Graphical Password Authentication Scheme in Combination with One Time Password”, 4th International Conference on Innovative Computing and Communication (ICICC 2021-Springer AISC conference), 20-21st Feb-,2021.

• A. Lakshmanarao, A. Srisaila, T. Srinivasa Ravi Kiran,“ Heart Disease Prediction using Feature Selection and Ensemble Learning Techniques,” 3rd International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV 2021: IEEE Conference) organized by Francis Xavier Engineering College, Tirunelveli, India during 04-06, February 2021.

• A. Lakshmanarao, Ch. Seshadrirao, Gadde Sridevi, “Analyzing and Predicting Covid-19 epidemic using Machine Learning Techniques,” International Conference on Computer Vision, High Performance Computing, Smart Devices and Networks (CHSN-2020:IOP Conference), 28th-29th December, 2020.

• A.Lakshmanarao, A. Srisaila, T. Srinivasa Ravi Kiran,“ Cancer Prediction using Novel Ranking Algorithms and Machine Learning,” 4th International Conference on Advanced Informatics for Computing Research (ICAICR- 2020:Springer CCIS conference),26th-27th December, 2020.

• A.Lakshmanarao,Prof.M.Shashi,“ Android Malware Detection using Convolutional Neural Networks,” 4th International Conference On Intelligent Computing And Communication (ICICC – 2020:Springer AISC conference),18th, 19th & 20th September, 2020.

• S. Sai Indraja,A.Lakshmanarao,“A DGA Domain names Detection using Deep Learning Techniques,” The International journal of analytical and experimental modal analysis, ISSN NO:0886-9367, Volume XII, Issue XI, November/2020.

• A. Lakshmanarao, G.Prasanna, S.Ramsai,“Machine Learning techniques for Plant Disease Detection,” Journal of Information and Computational Science, Volume 10 Issue 6, July-2020.

• A.Lakshmanarao, K.Chandra Sekhar,G.Vijay Kumar,“Prediction of medical costs using regression algorithms,” Journal of Information and Computational Science, Volume 10 Issue 5, June-2020.

• A.Lakshmanarao, A.Srisaila, T. Srinivasa Ravi Kiran, “An Efficient Ad-Click Prediction System using Machine Learning Techniques”, International Journal of Engineering and Advanced Technology (IJEAT),ISSN: 2249 – 8958, Volume-9 Issue-3, February, 2020.

• A. Lakshmanarao, M. Shashi, “A Survey On Machine Learning For Cyber

  • Security”, International Journal Of Scientific & Technology Research Volume 9, Issue 01, January 2020, ISSN 2277-8616.

• A. Lakshmanarao, Y. Swathi, P Shandilya Narasimha Sharma, “Estimation of Compressive Strength of Concrete with Machine Learning Algorithms”, Journal of Information and Computational Science(ISSN: 1548 – 7741), Volume 9 Issue 10, Oct-2019.

• A.Lakshmanarao,Y.Swathi, P.Sri Sai Sundareswar, “Machine Learning Techniques for Heart Disease Prediction”, International Journal Of Scientific & Technology Research Volume 8, Issue 11, NOVEMBER 2019 ISSN 2277-8616.

• A.Lakshmanarao, Y.Swathi, T. Srinivasa Ravi Kiran, “An Effecient Fake News Detection System Using Machine Learning”, International Journal of Innovative Technology and Exploring Engineering (IJITEE),ISSN: 2278-3075, Volume-8, Issue-10, August- 2019.

• CH R V Srinidhi, A. Lakshmanarao, D. Sirisha, “Sales Prediction Based on E-commerce Data Using Machine Learning Algorithms”, Journal of Applied Science and Computations, Volume VI, Issue V, May/2019, ISSN NO: 1076-5131.

• T. Srinivasa Ravi Kiran, A.Srisaila, A. Lakshmanrao, “A Robust Scheme for Impervious Authentication”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-4S2 March, 2019.

• A. Lakshmanarao, G. Vijay Kumar, Chandra Sekhar, “Estimating Click Through Rate Using Reinforcement Learning Algorithms”, International Conference on Recent Innovations in Computer Science & Technology, P.B.Siddhartha College of Arts & Science, Vijayawada,25th Jan 2019.

• A. Lakshmanarao, G. Vijay Kumar, T.S. Ravi Kiran, “An Effective Multiple Linear Regression model for Power Load Prediction”, JETIR, ISSN NO: 2349-5162, volume 5, issue 9 September 2018.

• A. Lakshmanarao, K.Chandra Sekhar,Y.Swathi,“An Efficient Classification System using Ensemble Machine Learning Algorithm”, JASC, ISSN NO: 1076-5131, Volume 5, Issue 9, September 2018.

• A.Lakshmanarao, K.Chandra Sekhar,G.Vijay Kumar, “Using Machine Learning Clustering Algorithms for analyzing Wholesale Customers data”, International Journal of Scientific Research in Computer Science Applications and Management Studies, ISSN 2319 – 1953, Volume 7, Issue 4 (July 2018).

• M.Krishna,A.Lakshmanarao,G.Vijay Kumar “Effective Novel Method for Handling Non spatial Attributes and minimizes Query response time”, IJCST, vol 7,issue 4,oct-dec 2016.

• K.Srikanth,A.Lakshmanarao,M.Raja Kumar “Novel Schemes for spatial top-K Query processing for vulnerable location based service providers”,IJCST,vol 7,oct-dec-2016.

• Manas Kumar Yogi, A.Lakshmanarao, “Novel Perspectives in Construction of Recovery Oriented Computing” ,International Journal for Scientific Research & Development| Vol. 3, Issue 10, 2015 | ISSN (online): 2321-0613.

• A.Lakshmanarao, G.Satya Suneetha, K.Sandeep Kumar “An Algorithm Framework in order to deal with Efficient Resource Allocation in Overlay Routing”, International Journal of Research in Computer and Communication Technology”, Volume 4, Issue 9, Sep-2015.

• M.Padmavathi,D.Sirisha,A.Lakshmanarao, “The Security of Cloud Computing System Enabled by Shamir’s Secret Sharing Algorithm”,  International Journal of Research Studies in Science, Engineering and Technology Volume 1, Issue 9, December 2014-issn:2349-4751.

• A.Lakshmanarao,Ch.Gowthami, “Scalable and Reliable Faith Aware Path in Wireless Sensor Network”, in IJCST Vol. 4, Issue 3, July - Sept 2013.

• Ch.Bheemaseenu,A.Lakshmanarao, “Parallelized Cuckoo Search Algorithm using Data Cloud”, in International Journal of Computer Technology & Research,IJCTR ISSN 2319-8184, Volume 1 Issue 7, September – Nov- 2013.

• A.Lakshmanarao,NagaRaju Pericherla, “A Novel Data hiding Technique and Encryption Scheme”, in IJAIR, 2012.

• A.Lakshmanarao,P.Jagadeesh Kumar, “ Dynamic Hierarchical Mobility Management Approach for IP based Mobile Networks”, IJCST,Vol3,iss2,April-June 2012.

• A.Lakshmanarao,Para Rajesh, “An Empowering Proficient Scrutiny of Storage Security in Cloud Computing”, in IJAIR 2012.

• A.Lakshmanarao,V.V.Satyanarayana Murthy, “An Empirical Methods for Construction of Datasets In Structured Query Language,” in IJAIR, 2012.

• J.D.Lalitha Sri, A.Lakshmanarao, “Robust Gait Template for Human Recognition,” International Journal of Communication Network and Security (IJCSN) ISSN: 2231-8182, Volume-2,Issue-2.

• A.Lakshmanarao,MD.Safura Reshma, “The Distribution   Information for Text Classification for Future Selection Method and Categorization” International Journal of Computer Science and Technology in April 2012.

• D.Vijay,A.Lakshmanarao,K.Sunil Kumar, “Reduce  Latency in Web Traffic on  Proxy Server using Web Caching and Web Prefetching ”International  Conference on Nano science Engineering & Advanced Computing (ICNEAC-2011) .

• G. Vijay Kumar, A.Lakshmanarao, “Implementation of Array based technique to improvise representation of FP tree using IAFP-MAX algorithm”, Journal of Global Research in Computer Science,vol-2,No.9september 2011, 2229-371X

• G.Vijay Kumar,A.Lakshmanarao, “An Analytical Model to evaluate the Approaches of Mobility management”, IJCTA-2011.

Workshops/FDPs attended:

• Attended FDP on “Amazon Web Sevices” organized by BRAINOVISION and Aditya Engineering College during 22-08-2022 to 27-08-2022.

• Attended Five Days FDP on “IPR Awareness and Patent Prosecution” organized by Department of Electronics and Communication, Oriental Institute of Science and Technology, Bhopal during 13th - 17th July 2021.

• Attended Three Days workshop on “Citation Tools and Techniques” organized by Department of Computer Science and Engineering, CVR College of Engineering during 19-07-2021 to 21-07-2021.

• Attended workshop on“AICTE Examination Reforms” jointly conducted by AICTE and Chitkara University,Punjab during 08-07-2021to 10-07-2021.

• Attended Three Days “Online wellness workshop Ayushman” organized by Institute of Technology and Science, Ghagiabad during 01-07-2021 to 03-07-2021.

• Attended Five Days Online Faculty Development Programme on “Advancements In Data Analytics Using Informatica” organized by Department of Computer Science and Engineering, Vignan’s Institute of Engineering for Women during 21st June 2021 to 25th June 2021.

• Attended one-week online Faculty Development Programme on “Data Science and is Applications” organized by SRKR Engineering College during 10-06-2021 to 15-06-2021.

• Attended Three-day National Level Faculty Development Program on "Machine Learning" organized by RISE Krishna Sai Prakasam Group of Institutions, Ongole during 4th June to 6th June 2021.

• Attended two-week online FDP on “Multidisciplinary Research innovation in Engineering, Science and Technology for Sustainable Development” organized by Department of CSE, Bipin Tripathi Kumaon Institute of Technology.Dwarahat Almora (Uttarakand), India during Oct 26-Nov 7, 2020.

• Attended 15-days online workshop on “Application of Data Science for Industries Problem Through Python” organized by UCEK,JNTU Kakinada in coordination with EXCELR from 10th August 2020 to 28th August 2020.

• Attended 3-day online workshop on “Introduction to Deep Learning” organized by Dept of CSE, PB Siddhartha College of Arts&Science during 21-8-2020 to 23-8-2020.

• Attended a webinar on “Towards successful publication of Research Work” organized by KLE Dr.M S Seshagiri college of Engineering & Technology, Belagavi on 17-6-2020.

• Attended 5-day online FDP on “Data science concepts-Theoretical and practical approach” organized by Dept of CSE, Dayanandha Sagar university, Bengaluru, during 15-6-2020 to 19-6-2020.

• Attended 2-day webinar on “Deep Learning using Autoencoders” organized by Dept of CSE, PB Siddhartha College of Arts&Science during 16-6-2020 to 17-6-2020.

• Attended a webinar on “Intellectual Property Rights and their Importance” organized by K L University, Andhra Pradesh on 2nd June 2020.

• Attended 5-day online FDP on “Cyber Security” organized by Dept of CSE, VR Siddhartha Engineering college during 23-5-2020 to 27-5-2020.

• Attended one-week workshop on “Machine Learning and its real-time applications” in pragati Engineering college during 27-8-18 to 1-9-18.

• Attended one-week workshop on “AI and Machine Learning” at NIT Warangal, from 4-6-18 to 8-6-18.

• Attended 2 weeks FDP on “Pedagogical Training on Outcome based education” during 18-12-17 to 30-12-17 at GVP, Vishakhapatnam.

• Attended a one-day National Level workshop on “Start-ups and Entrepreneurship Orientation” on 10th March 2016 organized by Dept. Of CSE, UCEK, JNTUK sponsored by TEQIP-II at JNTUK, Kakinada.

• Attended two-day Faculty Development Program on “Big Image Data Processing on Hadoop Framework” during 19th-20th March 2016 organized by Departments of CSE&IT at Pragati Engineering College.

• Attended three-day Faculty Development Program on “Cloud Computing” under TEQIP II during 6th-8th August 2015 organized by Department of Computer Science&Engineering, Shri Vishnu Engineering College for Women.

• Attended workshop on “Cyber Security & Malware Analysis” by INDIAN SERVERS conducted during 17th and 18th July 2014 at Pragati Engineering College.

• Attended one day Workshop on “Professional Development” on 2nd March 2014 jointly organized by ISTE Chapter, Pragati Engineering college conducted at Pragati Engineering College.

• Attended two-day workshop on “Multicore Programming using CUDA” conducted at UCEK,JNTUK,Kakinada during 9th and 10th January 2014.

• Attended Faculty Development Program on “Requirements Management” held on 11-Feb-2014 at Pragati Engineering College.

• Attended IBM Training program on “IBM Rational Software Architect” held during 19-12-2013 to 22-12-2013 at Pragati Engineering College.

• Attended Faculty Development Program on “Outcome Based Engineering Education For Quality Assurance” on 24th Feb 2013,organized by ISTE Chapter at Pragati Engineering College.

• Attended Faculty Development Program on “Information Systems and Data Analytics “on 22Feb 2013, organized by Depts. Of CSE and IT at Pragati Engineering College.

• Attended workshop conducted by Indo-US Collaboration for Engineering Education(IUCEE) in JNTU Kakinada on January,2012.

• Attended Faculty Development Program on “Effective Teaching Methods” Conducted by JNTUK SMS at JNTU Kakinada on April,2011.

• Attended workshop organized by Microsoft & IEG JKC in Vasari Engineering College on Feb,2009.

 Online Certification Courses Done:

• Completed courseera certification on “Data Science Methodology” during October- 2020.

• Completed courseera certification on “Machine Learning Foundations: A Case Study Approach” during August- 2020.

• Completed courseera certification on “Machine Learning with Python” during July-August 2020.

• Completed courseera certification on “Introduction to Artificial Intelligence” during June-July 2020.

• Completed NPTEL course on “The joy of computing using Python” (12 weeks) during July-Oct 2019.

• Completed NPTEL course on “Data Mining” (8 weeks) during Feb-April 2019.

• Completed NPTEL course on “Introduction to R software” (8 weeks) during August-September 2018.

• Completed NPTEL course on “Introduction to Machine Learning” (8 weeks) during August-October 2018.

• Completed udemy online certification course on “Machine Learning-Hands on Python” in September 2018.

• Completed udemy online certification course on “Deep Learning” in March  2019.

• Completed online training in “python” organized by spoken tutorial ,IIT Bombay in July 2018.

Teaching Experience:

• Working as Associate Professor, IT Department, Aditya Engineering College, Surampalem, Kakinada from January 2021 to tilldate.

• Worked as Assistant Professor in Raghu Engineering College, Visakhapatnam from April 2019 to December 2020.

• Worked as Associate. Professor in Pragati Engineering College, Surampalem from August 2010 to March 2019.

• Worked as Asst.professor in Akula Gopayya College of Engineering &Technology, West Godavari from June 2007 to July 2010.

• Worked as Asst.professor in Sun Flower College of Engg&Technology, Challapalli, Krishna District from June 2005 to June 2007.

Acted as resource person:

• Acted as a resource person for the online FDP on “Medical Image & Signal Processing using Python - MIS2P'22” by Sasi Institute of Technology & Engineering(A),Tadepalligudem on 12th march 2022.

• Acted as a resource person for the online FDP on “Advanced Emerging Trends in CSE & IT” by Usha Rama College of Engineering and Technology on 25th march 2021.

• Acted as a resource person for the webinar on “Machin Learning with Python” organized by Department of Computer Science, AG&SG Siddhardha Degree College of Arts & Sciences on 06-02-2021.

• Acted as a resource person for the 3 phase-AICTE Sponsored six days online Short-Term Training Programme (2 days resource person) on “Predictive Analytics using Artificial Intelligence (STTP-PAUAI)” organized by Department of CSE, NRI Institute of Technology, Pothavarappadu, Agiripalli Mandal, Krishna Dt during,2nd to 7th November-2020(phase-I),14th to 19th November-2020(phase-II),4th to 9th Janualry-2021(phase-III).

•  Acted as a resource person for the 3 phase-AICTE Sponsored six days online Short-Term Training Programme (2 days resource person) on “Predictive Analytics and Machine Learning using R Programming and KNIME” organized by Department of CSE, Hindusthan College of Engineering and Technology, Coimbatore, Tamilnadu during 7th to 12th September-2020(phase-I),21st to 26th September-2020(phase-II),12th to 17th October-2020(phase-III).

• Acted as a resource person for the 5-day online FDP on “Deep Learning & its applications: Theory to Practice” in coordination with Sasi Institute of Technology & Engineering, Tadepalligudem during 06-07-2020 to 10-07-2020.

• Acted as a resource person for the online FDP on “Deep Learning concepts and applications” in coordination with NRI Institute of Technology during 11-06-2020 to 14-06-2020.

• Acted as a resource person for the 3-day webinar on “Machine Learning Algorithms for Practical Approach” in coordination with PB Siddhartha College of Arts &Science, Vijayawada during 07-06-2020 to 09-06-2020.

• Acted as a resource person for the 5-day FDP (2 days resource person) on “Python for Data Science” at Raghu Engineering College during 01-06-2020 to 05-06-2020.

• Acted as a resource person for the webinar on “Machine Learning Algorithms for real world applications” in coordination with NRI Engineering college during 25-5-2020 to 29-5-2020.

• Acted as resource person for the guest lecture on “Practical Data Mining with Python” at Priyadarshini Institute of Technology and Science, Tenali on 23-02-2019.

• Acted as resource person for two-day workshop on “Machine Learning with python” during 21-2-19 to 22-2-19 at Pragati Engineering College.

• Acted as resource Person for the two-day workshop on “Implementing Machine Learning Algorithm using Python”, at PB Siddhartha College of Arts&Science, Vijayawada during 11-9-18 to 12-9-18.

• Acted as resource Person for the two-day Faculty Development Programme on “Applying Machine Learning Algorithm with Python”, at PB Siddhartha Arts&Science, Vijayawada during 29-11-18 to 30-11-18.

Professional body memberships:

CSI Life Membership (id:2010000660)

ISTE Life Membership(id:134353)

Patents:

Title: Artificial Intelligence to Improve Security in Indian Banking Sector 

Appication No:202211013168 

Status: Published 

Personal Details:

Email:

 laxman1216@gmail.com

Address for communication:

70-3-36/9,

CT colony,

Ramanayyapeta,

Kakinada,

A.P,India-533005