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EAPCET | ECET | PGECET | ICET | CODE: VISW

Alumni

ICRAAE 2024

Academics > Departments

Computer Science & Engineering (CSE)

Dr. Ramachandra Rao Kurada

Professor |

krcrao@svecw.edu.in

Teaching Experience: 23 yrs
Research Experience: 12 yrs
Mobile number: 9885911212

SVCEW Emp ID: 603
AICTE Unique ID: 1-456553757

  • AI,
  • Blockchain,
  • Data Science
Degree Organization/Institution Specialization Year of Passing
Ph.D. Acharya Nagarjuna University, Nagarjuna Nagar, Guntur Data Mining, Computational Intelligence 2019
M.Tech SSAIST, Surampalem, JNTUK, Kakinada CSE 2012
M.Sc. CS VSM College, Ramachandrapuram Computer Science 1999
  • Life Member CSE, ISTE, IEI

Publications in National/International:

  • M. R. V V R, S. N, S. S. Reddy, S. Bonthu, R. Rao Kurada and V. Vaishalini, “An Optimized Ensemble Machine Learning Framework for Water Quality Assessment System by Leveraging Forward Sequential Minimum Redundancy Maximum Relevance Feature Selection Method,” 2023 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), Chennai, India, 2023, pp. 1-8, doi: 10.1109/ICSES60034.2023.10465554.
  • N. Silpa, V. Vaishalini, S. V. S. S. Lakshmi, M. R. V V R, R. R. Kurada and S. Bonthu, “Empowering Diabetic Prediction through MRMR-Driven Feature Selection and Robustness of Ensemble Machine Learning,” 2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS), Kalaburagi, India, 2023, pp. 1-7, doi: 10.1109/ICIICS59993.2023.10421410.
  • M. R. V. V. R, S. N, S. Shankar Reddy, R. Rao Kurada, S. Mahaboob Hussain and E. L Sameera, “A Robust XG-Boost Machine Learning Model for Water Quality Estimation System by Leveraging with Chi-Square Forward Sequential Feature Selection Technique,” 2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE), Ballari, India, 2023, pp. 1-7, doi: 10.1109/AIKIIE60097.2023.10390370.
  • Ramachandra Rao Kurada, Karteeka Pavan Kanadam, Y. Ramu, N. Silpa, VVR Maheswara Rao, Sunil Pattem, “Story Telling with Basic and Advanced Data Visualizations of Blockchain Technologies”, 2023, Second IEEE International Conference on Augmented Intelligence and Sustainable Systems (ICAISS 2023), 23rd-25th August 2023 in CARE College of Engineering, Trichy, India. (To be Scopus) https://ieeexplore.ieee.org/abstract/document/10250661 Electronic ISBN:979-8-3503-2579-9. DOI: 10.1109/ICAISS58487.2023.10250661
  • Ramachandra Rao Kurada, Sunil Pattem, Y. Ramu, Maheswara Rao VVR, N Silpa, Sridevi Bonthu, “RaituVrudhi – An Android based Mobile Application for Agro-Marketing,” 2023 4th International Conference for Emerging Technology (INCET), Belgaum, India, 2023, pp. 1-7, doi: 10.1109/INCET57972.2023.10170078. ISBN:979-8-3503-3575-0. Date Added to IEEE Xplore: 10 July 2023. https://ieeexplore.ieee.org/document/10170078 (Scopus), 26-28 May 2023.
  • Silpa N, Maheswara Rao V V R, M. VekataSubbarao, Ramachandra Rao Kurada, Shiva Shankar Reddy, Padma JyothiUppalapati, “An Enriched Employee Retention Analysis System with a Combination Strategy of Feature Selection and Machine Learning Techniques”, 7th International Conference on Intelligent Computing and Control Systems [ICICCS 2023], 17 – 19, May 2023 at Vaigai College of Engineering,Madurai, Tamil Nadu, India. https://ieeexplore.ieee.org/abstract/document/10142473\ ISBN:979-8-3503-9725-3 DOI: 10.1109/ICICCS56967.2023.10142473
  • Maheswara Rao VVR, N Silpa, Mahesh Gadiraju, Shiva Shankar Reddy, Sridevi Bonthu, Ramachandra Rao Kurada, “A Plausible RNN-LSTM based Profession Recommendation System by Predicting Human Personality Types on Social Media Forums,” 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2023, pp. 850-855, doi: 10.1109/ICCMC56507.2023.10083557. https://ieeexplore.ieee.org/abstract/document/10083557(Scopus) ISBN:978-1-6654-6408-6
  • Ramachandra Rao Kurada, Y. Ramu and S. Pattem, “Lessoning Geospatial Visualizations on Real-Time Data,” 2021 IEEE International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), 2021, pp. 1-6, doi: 10.1109/CSITSS54238.2021.9683776. ISBN:978-1-6654-0610-9. https://ieeexplore.ieee.org/abstract/document/9683776(Scopus)
  • Ramachandra Rao Kurada, RamuYadavalli, Sunil Pattem, “Intelligent animal tracking system using IoT and machine learning scheme”, https://pubs.aip.org/aip/acp/issue/2587/1 ICETMCCT 2021, Dec-21 at AVCE. Volume 2587, Issue 1, 21 November 2023. https://doi.org/10.1063/5.0150852. Online ISSN 1551-7616, AIP Conference Proceedings. AIP Conf. Proc. 2587, 020001 (2023) (Scopus)
  • Ramachandra Rao Kurada, RamuYadavalli, Sunil Pattem, Kiran Sree P “A Case Study to Exhibit Instructional Planning, Design, Execution and Assessment with Measurable Student Learning Outcomes in Outcome-Based Education”, NCEE-2021, at National Institute of TechnicalTeachers’ Training & Research (NITTTR), Kolkata, Proceedings of Engineering Education, 2022, pp. 58-68, ISBN: 978-81-956423-0-4. http://www.nitttrkol.ac.in/ncee2021/Downloads/ProceedingsNCEE-2021.pdf
  • G.Madhuri, K. Ramachandra Rao, “Heart Disease Prediction System Based on Hybrid Machine Learning Techniques”, ICRIEIT-2021, St.MEC, ISBN: 978-81-948787-6-6, July-21.
  • Ramachandra Rao Kurada, Dr. KarteekaPavanKanadam and Dr. R.C. Tripathi, “A Short Study in Formulation of TLBO and its Synergized Applications with Clustering”, International Conference on Advances in Computer Engineering and Applications, Ghaziabad, pp. 591-597, March 2015, ISBN 978-1-4673-6911-4, IEEE Xplore DOI: 10.1109/ICACEA.2015.7164760. (Scopus)
  • Ramachandra Rao Kurada, et.al. “Modeling Uncertain Spatial Data Sets using Uncertain Partitioning Clustering”, presented in Conference on Advances in Assistive and Main stream Technologies for Persons with Special needs (AAMT-2013), 5-8 March 2013, at Shri Vishnu Engineering College for Women, Bhimavaram, A.P. India.
  • Ramachandra Rao Kurada, et.al. “A Novel Approach by Applying Partitioning Clustering over Uncertain Spatial Data Objects using Pruning Techniques and R*-tree Indexing”, presented in International Conference on Computing and Control Engineering (ICCCE 2012), 12 & 13 April 2012. Dr. MGR University, Chennai & Published by Coimbatore Institute of Information Technology. ISBN No: 978-1-4675-2248-9.

Journal Publications in National/International Conferences:

  • K. Ramachandra Rao et al., “Dish Recognition and Nutrition using Deep Learning”, Industrial Engineering Journal, ISSN: 0970-2555, Vol. 53, Iss 2, Feb 2024. http://www.journal-iiie-india.com/1_feb_24/2_online_feb.pdf
  • Ramu Y, Ramachandra Rao Kurada, SunilPattem, “An Approach To Identify Accurate Machine Learning Model To Build Human Stress Level Prediction System”, Volume 12, Issue 02, Pages: 60-65, 06th Feb 2023. International Journal for Innovative Engineering and Management Research DOI: 10.48047/IJIEMR/V12/ISSUE 02/09, https://www.ijiemr.org/public/uploads/paper/436871675667105.pdf ISSN 2456-5083
  • Ramachandra Rao Kurada, RamuYadavalli, Sunil Pattem, KarteekaPavanKanadam, “A Comparative Study on Prejudiced Measurements of Datasets in three variants of Automatic Evolutionary Clustering using Teaching-Learning-Based Optimization”, Natural Volatiles and Essential Oils (NVEO), 2148-9637, Volume 8, Issue 4, pp. 1321-1337, Nov-21, https://www.nveo.org/index.php/journal/article/view/268/243.(Scopus)
  • K. Jaya Sri, and K. Ramachandra Rao, “Automated Solution for Normalization of Duplicate Records from Multiple Data Sources”, International Journals of Advanced Research in Computer Science and Software Engineering. ISSN: 2277-128X (Volume-9, Issue-9), September 2019. https://www.ijarcsse.com/index.php/ijarcsse/issue/view/38. DOI: https://doi.org/10.23956/ijarcsse.v9i9
  • RudraHarika, and K. Ramachandra Rao, “An Enhanced Top-K Approximate Queries for Continuous Document Streams”, International Journal of Modern Electronics and Communication Engineering (IJMECE) ISSN: 2321-2152,Volume No.-6, Issue No.-5, PP. 137-140, September, 2018, www.ijmece.org.
  • Ramachandra Rao Kurada and Dr. KarteekaPavanKanadam, “An Epitomized Approach to Possess Promising Predictions using Time-Series Analysis and Forecasting in R Language”, Helix The Scientific Explorer, ISSN: 2277-3495, DOI 10.29042/2018-3467-3477, Vol 8, No. 3, pp. 3467-3477, May 2018. URL: http://helix.dnares.in/category/2018/volume-3-2018.(Scopus)
  • Ramachandra Rao Kurada and Dr. KarteekaPavanKanadam, “A Novel Evolutionary Automatic Data Clustering Algorithm using Teaching-Learning-Based Optimization”, International Journal of Intelligent Systems and Applications (IJISA) ISSN: 2074-9058, DOI: 10.5815/ijisa. Vol. 10, No. 5, pp. 61-70, May 2018, URL: http://www.mecs-press.org/ijisa/ijisa-v10-n5/IJISA-V10-N5-7.pdf.(Scopus)
  • Ramachandra Rao Kurada and Dr. KarteekaPavanKanadam, “A Novel Evolutionary Automatic Clustering Technique by Unifying Initial Seed Selection Algorithms into Teaching-Learning-Based Optimization”, Soft Computing and Medical Bioinformatics, Springer Briefs in Forensic and Medical Bioinformatics, Springer, Singapore, pp. 1-8, 2018, Online ISBN: 978-981-13-0058-5, DOI: https://doi.org/10.1007/978-981-13-0059-2_1. (Scopus)
  • Ramachandra Rao Kurada and Dr. KarteekaPavanKanadam. “Sentimental Analysis on Cognitive Data Using R”, Cognitive Science and Health Bioinformatics. Springer Briefs in Applied Sciences and Technology. Springer, Singapore. pp. 15-35, 2017, Online ISBN 978-981-10-6653-5. DOI: https://doi.org/10.1007/978-981-10-6653-5_2.(Scopus)
  • G. Sushma, and K. Ramachandra Rao, “Influencing Unique Data to Boost the Performance of Key Uploaded Systems through Cloud Computing”, International Journal of Computer Science & Communication Network, IJCSCN Vol. 7, Iss. 5, pp. 128-132, Oct – Dec 2017, ISSN: 2249-5789. http://www.ijcscn.com/Documents/Volumes/vol7issue5/ijcscn2017070501.pdf
  • S.Kanaka Lakshmi, and K.Ramachandra Rao, “H2Hadoop: Improving Hadoop Performance Using Metadata of Related Jobs”, International Journal of Computer Science and Technology, IJCST Vol. 8, Iss. 4, pp. 31-34, Oct – Dec 2017, ISSN : 0976-8491. http://www.ijcst.com/vol8/issue4/7-s-kanaka-lakshmi.pdf.
  • Bh. Bhargavi and K. Ramachandra Rao, “Distributed Development Environment for the Software Project Scheduling and Management to the Dynamic Requirement and Analysis”, International Journal of Merging Technologies and Advanced Research in Computing (IJMTARC), ISSN: 2320-1363, Vol– IV, Iss. 16, Dec 2016, http://www.ijmtarc.com/Papers/Current%20Papers/IJMTARC-161258.pdf.
  • Ramachandra Rao Kurada, et al., “Channelizing Audio Functions in a Smart Mobile by Concocting Project Soli Technology”, International Journal of Engineering Research & Technology (IJERT), ISSN: 2278-0181, Vol. 4, Iss. 34, pp. 130-133,Nov 2016. https://drive.google.com/file/d/0B1S4ksxYY-PDNEprVklkaGM4R2M/view.
  • Ramachandra Rao Kurada and Dr. KarteekaPavanKanadam, “Automatic Unsupervised Data Classification Using Jaya Evolutionary Algorithm”, Advanced Computational Intelligence: An International Journal (ACII), ISSN: 2454-3934, Vol.3, No.2, pp. 35-42, April 2016, DOI:10.5121/acii.2016.3204, http://aircconline.com/acii/V3N2/3216acii04.pdf.
  • Ramachandra Rao Kurada and Dr. KarteekaPavanKanadam, “A Generalized Automatic Clustering Algorithm Using Improved TLBO Framework”, International Journal of Applied Sciences and Engineering Research, ISSN 2277 – 9442, Vol. 4, Iss. 4, pp. 544-556, August-2015, DOI: 10.6088.ijaser.04056, ttp://www.ijaser.com/articles/vol4issue42015/vol4issue4/JASER4056.pdf.
  • Ramachandra Rao Kurada, Dr. KarteekaPavanKanadam, and Dr. Appa Rao Allam, “Automatic Teaching Learning Based Optimization: A Novel Clustering Method For Gene Functional Enrichments”, Computational Intelligence Techniques for Comparative Genomics, Springer Briefs in Applied Sciences and Technology, Springer, Singapore, pp. 17-35, 2015, Online ISBN: 10.1007/978-981-287-338-5, DOI: https://doi.org/10.1007/978-981-287-338-5_2.(Scopus)
  • Ramachandra Rao Kurada and Dr. K KarteekaPavan, “Teaching-Learning-Based Optimization State-of-the-Art”, CiiT International Journal of Data Mining and Knowledge Engineering (IJDMKE) Vol. 7, No. 2, pp. 75-81, 2015, ISSN: 0974 – 9578. http://www.ciitresearch.org/dl/index.php/dmke/article/view/DMKE022015006.
  • Ramachandra Rao Kurada and Dr. K KarteekaPavan, “Exemplifying Workflow Sequencing and Analysis in Artificial Neural Networks”, International Journal of Advanced Research in Computer Science, (IJARCS) Vol. 5, No. 2, March 2014, Issn No.: 0976-5697.
  • Ramachandra Rao Kurada, Dr. K KarteekaPavan, “Novel Text Categorization By Amalgamation Of Augmented K-Nearest Neighborhood Classification And K-Medoids Clustering”, International Journal of Computational Science and Information Technology (IJCSITY) Vol.1, No.4, November 2013, DOI : 10.5121/ijcsity.2013.1301, ISSN: 2320-7442 (online), ISSN: 2320-8457 (Print), http://airccse.org/journal/ijcsity/papers/1413ijcsity06.pdf.
  • Ramachandra Rao Kurada, Dr. K KarteekaPavan, and Dr. AV Dattareya Rao, “A Preliminary Survey On Optimized Multiobjective Metaheuristic Methods For Data Clustering Using Evolutionary Approaches”, International Journal of Computer Science & Information Technology (IJCSIT) 5, No. 5, 2013, DOI : 10.5121/ijcsit.2013.5504, ISSN (online) 0975-2836, (print) 0975-4660, URL: http://airccse.org/journal/jcsit/5513ijcsit04.pdf.
  • Ramachandra Rao Kurada, et al. “An Integrated Approach to Model Uncertain Spatial Data with UK-medoids Clustering, MBR Pruning and R*-Tree Indexing”, Engineering Sciences International Research Journal (ESIRJ), Vol.1 Issue 1, Feb 2013, pp. 15-23. ISSN No. 2320-4338, http://www.imrf.in/engscienceinternationalresearchjournal.html. ISBN No.: 978-93-81583-90-6.
  • Ramachandra Rao Kurada, etal. “Unsupervised Classification of Uncertain Data Objects in Spatial Databases Using Computational Geometry and Indexing Techniques”, International Journal of Engineering Research and Applications (IJERA), Vol.2 Issue 2, March-April 2012, pp. 806-814.ISSN No. 2248-9622, http://www.ijera.com/papers/Vol2_issue2/EG22806814.pdf.
  • YouTube Channel-ID / Link:
  • CSE Core Subjects – Around 300+ Video Lectures:
    (Data Science, Data Warehousing & Data Mining, R-Language, Operating Systems Theory & Lab, DBMS Theory & Lab, Microprocessors)
    https://www.youtube.com/channel/UCJ8jQFdgnfpMdwVRuVfOF2g
  • Completed NPTEL Online Certification course in “Business Analytics & Text Mining Modeling Using Python” with-3 Credits-Jul-Sep2023 (8 week course),from IIT Roorkee. https://archive.nptel.ac.in/noc/Ecertificate/?q=NPTEL23MG104S3404013610068468
  • NPTEL Online Certification in DBMS course- 2 Credits – Feb-Apr 2019 – 8 weeks, from IIT Kharagpur. https://nptel.ac.in/noc/E_Certificate/noc19-cs12/NPTEL19CS12S41190144191136550.jpg

Coursera Certifications:

  • Python Data Structures (coursera.org/verify/GZEWFKP5DMJR)
  • Using Python to Access Web Data (coursera.org/verify/Q5DCMW7FW69A)
  • Using Databases with Python (coursera.org/verify/5AJHSK6N3K3J)
  • Capstone: Retrieving, Processing, and Visualizing Data with Python (coursera.org/verify/X55UX59Y3MZF)
  • Introduction to Data Science in Python (coursera.org/verify/64AGT669HDCS)
  • Applied Machine Learning in Python (coursera.org/verify/ERL4XY9BUCFC)
  • Applied Plotting, Charting & Data Representation in Python ( coursera.org/verify/7SMG3SLSDEBV)
  • Applied Text Mining in Python (coursera.org/verify/VEC6T88ZZ2RX)
  • Artificial Intelligence for Everyone (coursera.org/verify/RSU927K5LF2C)
  • Introduction to HTML 5 (coursera.org/verify/NDGHYXVW7FRP)
  • Advanced Styling with Responsive Design. (coursera.org/verify/6Q7YG6T2V7GF)
  • Introduction to CSS3 (coursera.org/verify/N4Y88JB2R5EQ)
  • Interactivity with Javascript (coursera.org/verify/2WN2KX24UCPC)
  • Deep Learning and Neural Networks(coursera.org/verify/AUXAARQ7Y88D)
  • Marketing Advanced Styling with Responsive Design (coursera.org/verify/6Q7YG6T2V7GF)
  • Marketing in a Digital World (coursera.org/verify/37YJWUKFXGG6)
  • Convolutional Neural Networks deeplearning.ai. (coursera.org/verify/FWCYXHZGMJMM)
  • Machine Learning Foundations: A Case Study Approach. (coursera.org/verify/2YUPSTSYMJEJ)
  • Machine Learning: Regression. (coursera.org/verify/AASPL8QL5K4C)
  • Machine Learning: Clustering & Retrieval(coursera.org/verify/65QABFGKQ3N9)
  • Machine Learning: Classification (coursera.org/verify/VNKU5VZ7HT3K)
  • Blockchain Basics, The State university of New York (coursera.org/verify/FR656GM4CGF2)
  • Responsive Web Design, University of London and Goldsmiths (coursera.org/verify/C56CAZ842B9K)
  • The Blockchain, University of California, Irvine (coursera.org/verify/EV2ADP2ASAF8)

EdX Certification Courses

  • EdXHarvardX Data Science: R Basics. https://courses.edx.org/certificates/9818834d74484a96a3ef9e64ad79ba54

IIT Bombay X Certification Courses:

  • Completed an online course conducted from 15 July 2020 to 15 December 2020 on LaTeX101x: LaTeX for Students, Engineers, and Scientists, from IITBombayX,
    https://certificate.iitbombayx.in/downloads/fb2fff4e02444b0e9da0154c5cd38a63/Certificate.pdf

Nasscom Future Skills Certification Courses:

  • Introduction to Data Analytics (https://certificates.simplicdn.net/share/1763246.pdf)

IBM Cognitive Classes.ai Certification Courses:

  • Python for Data Science (https://courses.cognitiveclass.ai/certificates/9ad94560411f422d886e66a455b74fdd)
  • Data Analytics with Python (https://courses.cognitiveclass.ai/certificates/b133fee3850444e797d5affcebedbaab)
  • Machine Learning with Python (https://courses.cognitiveclass.ai/certificates/097f9ad0e7824473abbdeec7b8bb27b2)
  • Data Visualization with Python (https://courses.cognitiveclass.ai/certificates/9a845680e56c4b1b8fa98eb7e245de07)
  • Big Data (https://courses.cognitiveclass.ai/certificates/25791309bc29491e94d64fa9ba97f3f2)
  • Hadoop (https://courses.cognitiveclass.ai/certificates/2d09567a9f7b41a484fed7f23873f28d)
  • Participated in one week National FDP on Blockchain Technology organized by Ramrao Adik Institute of Technology – D. Y Patil Deemed to be University, Bishop Heber College and SR University in Collaboration with ExcelR Edtech Pvt. Ltd. Dated 8th Jan to 12th Jan 2024.
  • Attended FDP on Large Language Models in AI from 04 Oct 2023 – 07 Oct 2023, conducted by APITA and Blackbuck Engineers Pvt Ltd. LLM-AI APITABB
  • Received certificate of appreciation from KodNest in Aug 2023 towards participation in education and industry connect programmes.
  • Participated in One Week National Level FDP on “Cloud Infrastructure (AWS)” organized by Brainovision Solutions & AICTE during the period of 21st to 25th Aug 2023.
  • Participated in a Five day FDP on Power of Visualization in Analytics, organized by BVRIT, Hyderabad during 16 Aug – 21 Aug 2023.
  • Participated in the workshop on Application of eye tracking in Cognitive Science Reserch under Center for Linguistic Science & Technology, III, Guwahati Assam. Aug-2023.
  • Participated in the five days Faculty Development Program on “Research Methodology on Machine Learning and Data Science” held during 10th July, 2023 to 14th July, 2023, at BVRIT-Narasapur.
  • Participated in the professiona development work on Digital Creativity Skills as a part of Adobe Academic Essentials program, in July 2023.
  • Participating in one month course on “Quantum Computing using Indigenous Quantum Simulator QSim” jointly organized by IIT Roorkee and C-DAC Hyderabad with the support of Ministry of Electronics and Information Technology, Government of India., 6-28 May 2023.
  • Participated in one week National Level Online FDP Recent Advances in Data Science, Data Analytics and Cyber Security from 1-5 March 2023, at CSE-SVECW.
  • Participated in five day FDP on Ethical Hacking organised by Blackbuck Engineers, KKR&KSR Institute of Tech & Sciences from 27-3rd March 2023.
  • Attended one week FDP on Natural Language Processing organized by VNR VJIET, Hyderabad between 13-17 Feb 2023.
  • Attended a One Week National Level Online FDP on Recent Trends in Cyber Security and Machine Learning from 1-5 June 2022-Shri Vishnu Engineering College for Women(A)-CSE.
  • Attended a One Week National Level Online FDP on Recent Trends in AI, IOT and Data Analytics from 9-13 Feb 2022-Shri Vishnu Engineering College for Women(A)-CSE.
  • Attended a One Week National Level Online FDP on Societal Applications of AI, Blockchain and IoT from 1-5 Sep 2021-Shri Vishnu Engineering College for Women(A)-CSE.
  • Attended a One Week National Level Online FDP on Applications on Machine Learning from 15-19 June 2021-Shri Vishnu Engineering College for Women(A)-CSE.
  • Attended one week online FDP on “Transforming teachers for a sustainable post covid-19 world” at IITM, A.P. dated Aug. 16-20, 2021.
  • Attended a Five Day National Level online FDP on “Recent Advancements in Artificial Intelligence and Robotics”, AICTE-ATAL, dated 23-02-2021 to 27-02-2021.
  • Attended an online FDP on Applications of Machine learning, dated from 15-06-2021 to 19-06-2021, at SVECW, Bhimavaram
  • Attended an online FDP on Data Science and its Applications, dated from 10-06-2021 to 15-06-2021 at SRKR, Bhimavaram
  • Attended an online Workshop on React JS, at SASI, Tadepalligudem dated from 05-07-2021 to 10-07-2021
  • Attended an online FDP on multi Technology, at VasaviEngg. College, Hyderabad dated from 28-06-2021 to 03-07-2021
  • Attended one week online FDP on “Transforming teachers for a sustainable post covid-19 world” at IITM, Kurnool, A.P., dated from 16-08-2021 to 20-08-2021
  • Attended one week National Level Online FDP on “Societal Applications of AI, Blockchain, and IoT” organized by CSE/SVECW dated from 01-09-2021 to 05-09-2021
  • Attended a Five Day National Level online ATAL Faculty Development Program on “Recent Advancements in Artificial Intelligence and Robotics” from 23- 27, February 2021 at SVECW.
  • Attended FDP (Virtual) on Blockchain Technology with Hands on for 5 from 8-Feb-21 to 12-Feb-21 being organized by Department of IT, S.R.K.R.ENGINEERING COLLEGE(A), Bhimavaram
  • Attended a 5 Day Online FDP on Emerging Research Trends in CSE, 19-23 Oct 2020, at GMR Institute of Technology, Rajam
  • Attended 5 Day Online FDP Outcome based Education – A continuous Quality Improvement of the Program 17-21 Aug 2020, SRKR, Bhimavaram
  • Online Faculty Development Program On Cyber Security held From 22-26 july, 2020, GEC, Gudlavalleru.
  • Attended a 5 Day Online FDP “5G Technologies with Application for IOT”,10th Aug to 16 Aug 2020,at VKR VNB & AGK, Gudivada
  • Faculty Development Program On Data Science Held From June1st, 2020 To June 30th, 2020, ExcelR& APSSDC.
  • Attended the webinar titled “gnomio Moodle – Open Source Learning Platform” on 2.6.2020 atVignan Pharmacy College, Vadlamudi, Guntur (Dt).
  • Attended a Webinar on AI Agents & Environment, dated 3-Jun-2020 at SVECW, Bhimavaram.
  • Attended the webinar titled “Patent Act, Drafting, Filing system and challenges in India” on 10.6.2020 at RMD Engg College, Kavaraipettai. TN.
  • Attended online FDP on “Blockchain Technologies”, dated 9th-13th June 2020, at Gudlavalleru Engineering College.
  • Attended a 7-day online FDP on “Data Science and Cloud Computing” hosted by Chebrolu Engineering College, Chebrolu ,Chebrolu from 18/May/2020 to 22/May/2020.
  • Attended a 5-day online FDP on “R Programming” hosted by Prakasam Engineering College, KandukurIn association with Spoken Tutorial Project, IIT-Bombay, funded by National Mission on Education through ICT, MHRD, Govt. of India from 22nd May to 28th May 2020.
  • Attended a 5-day national online FDP on “Artificial Intelligence” hosted by BVRIT Hyderabad College of Engineering, Hyderabad in association with NYCI &Brainovision Solutions India Pvt. Ltd from 22nd May to 26th May 2020.
  • Online Web Development Bootcamp Workshop, Vedic-Dev, 28/April/2020 to 07/May/2020
  • Attended a 5-day online FDP on “Python 3” hosted by Prakasam Engineering College, Kandukur In association with Spoken Tutorial Project, IIT-Bombay, funded by National Mission on Education through ICT, MHRD, Govt. of India from 25th May to 31st May 2020.
  • Attended a Two-Week FDP on “Data Science and Data Analytics through Python and R Programming” dated from 27 th January 2020 to 08 th February 2020 at Gudlavalleru Enginering College, Gudlalleru
  • Attended a 8 day workshop on “Nasscom Associate Analytics” from 18-24 November 2019, at Vedic, Hyderabad
  • Attended a Two Week AICTE sponsored FDP on “Next Generation Wireless Systems and Networks – Theory to Practice” between the dates 1-14 Aug 2019, at organized by ECE Department at Shri Vishnu Engineering College for Women, Bhimavaram.
  • NPTEL Online Certification in DBMS course- 2 Credits – Feb-Apr 2019 – 8 weeks, from IIT Kharagpur. https://nptel.ac.in/noc/E_Certificate/noc19-cs12/NPTEL19CS12S41190144191136550.jpg
  • Attended a 6 Days Faculty Enablement Program on “InfyTQ based Foundation Program in Python” held online using webinar platform from 6th May to 13th May 2019 conducted by Infosys Limited and has been awarded with A Grade in online assessment test.
  • Attending a four day training on “Machine Learning with Python” at SVECW, between the dates 13-16 Feb, 2019.
  • Attending a one week FDP on “Artificial Intelligence using Machine Learning & Deep Learning” at SCET between the dates 7-11 Jan 2019.
  • Attended a 6 day FDP on “Research Methodology and Statistical Analysis” between9th-14th June 2018 at SRKR-Bhimavaram
  • Attended a two day workshop on “Artificial Intelligence and Machine Learning” on 27-28, Apr-2018, at BVRICE, Bhimavaram
  • Attended a one week national level FDP on “Evolutionary and Nature Inspired Meta-Heuristic Algorithms for Engineering Applications”, organized by Dept. of ECE, SVECW.13 – 17 April, 2018
  • Attended a 5 day NassCom workshop on “Data Analytics using R” at VEDIC between the dates 20-24, March 2018
  • Attended a three day workshop on “Artificial Intelligence using Python” from 6-8 march 2018, organized by dept. of CSE & IT, at SVECW
  • Attended a two day workshop on “Block Chain Technologies”, at VIT, Bhimavaram, 27-28 Feb 2018.
  • Attended a workshop on “Instructional Design Strategies for NAAC Accreditation” At Vedic – 20-22 March 2017.
  • Attended FIP on “IBM Business Analytics” organized by APSSDC at SRKREC, Bhimavaram between the dates 21-26 Nov 2016.
  • Attending a Certificate Course in “Advanced Business Analytics using R”, at IIT-Hyderabad in Oct 2016.
  • Attended FDP on “Web Technologies” organized by the CSE Dept. SVECW, from 14th October 2016 to 18th October 2016.
  • Attended a 1 day workshop on “APAT-2016” at CDAC-Bangalore on 27 Aug 2016.
  • Attended a 5 day FDP on “Python &Django”during the dated 10-14 Aug2016 at SVECW.
  • Attended a workshop on “Scientific Educational Practices at VEDIC”, Hyderabad during 24-26 july 2016.
  • Attended a Two Day Workshop on “Big Data and Hadoop” at svecw in July-2016
  • Attended a 5 day FDP on “Big Data Analytics” at SVECW, in july-2016.
  • Workshop on “HADOOP and BIG DATA” between the dates 23rd-28th May2016, at ChiralaEngg College, Chirala.
  • A Two-Day National Workshop on “Evolutionary Computing: An Intelligent Problem Solving for Science and Engineering Applications”, 27th and 28th Nov, 2015, RVR&JC College of Engineering, Guntur.
  • A Two-Day workshop on “Applications of Soft Computing Techniques using MATLAB”, 09th and 10th Oct 2015, Vishnu Institute of Technology, Bhimavaram
  • Attended a two day National Workshop on “Matlab and its applications in Computational Intelligence” between the dates 8th-9th Feb 2014, organized by Dept. of CSE, at SRM University, Kattankulathur, TN.
  • Participated in a four day National Workshop on “Mobile Application Development“ between the dates 8th-12th Jan 2014, organized by Dept. of CSE, at Shri Vishnu Engineering College for Women, Bhimavaram
  • Participated in one dayMentoring Programme dated 5 Dec 2013, at Shri Vishnu Engg. College for Women, Bhimavaram
  • Participated in a Two day AICTE sponsored National Seminar on Mobile Computing & Mobile Application Development (NSMCMAD-2013), dated 7-9 Nov 2013 at SRKR College of Engg., Bhimavaram
  • Attended International Workshop on “Image Processing &Visualization“ as a part of 2012 Indo-Us Engineering Faculty Leadership Institute Programme from April 16th -19th, 2012 at VelTech Dr. RR & SR Technical University, Chennai, Tamilnadu (IUCEE).
  • Participated in workshop on “Cyber Security & Malware Analysis” conducted by CSI at SVECW between the 03-04 jan 2012.
  • Attended AICTE sponsored SDP in “Recent trends on Data ware Housing and Data Mining” on Weka- A Data Mining tool at organized by Dept. of CSE, Vishnu Institute of Technology, Vishnupur, Bhimavaram, between the dates 5-17 Dec, 2011.
  • Attended workshop on “IMC Ramkrishna Bajaj National Quality Award” between the dates 4-9 May 2011 at SIPS, Hyderabad, organized by SVES.
  • Attended a course on “IPR & E” between the dates 15-17 April 2011 at SIPS, Hyderabad, organized by SVES.
  • Attended a course on “Software Engineering” as part of 2010 Indo-US Engineering Faculty Leadership Institute from June28-July2, 2010 at thiagarajar College of Engg., Madurai. (IUCEE).
  • Attend Refresher Course on “Essential Foundations of Teaching and Researching Artificial Neural Netowrks” Organized by Dept. of CSE at AITAM, Tekali during Jan 08th -10th, 2010.
  • Participated in AICTE sponsored “Staff Development Program on Data Mining Technologies and Methodologies” Organized by Dept. of CSE at Swarnandra College of Engg. & Technology, Naraspur between the 8th-21st June 2009.
  • Attended a Two day workshop on “Data Mining Application through Clementine” organized by Dept. of CSE, JNTU-Kakinada, during 18th-19th March 2009.
  • Attend a Three Day Seminars on “Frontiers in Classification Algorithms for Data Mining” Organized by Dept. of CSE at AITAM, Tekali during Dec 26th -28th 2008.
  • Attended a Two day Workshop on “Multimedia Application Development with Action Script” organized by Dept. of MCA at MIC, Kanchikacherla between 30th-31st Aug, 2008.
  • Attend a Three Day Course on “Research Methodologies in Engineering: Current Perspective and Prospectus” Organized by Dept. of CSE at AITAM, Tekali between 23rd -25th Aug, 2008.
  • Attend A Two Day Workshop on “Business Intelligent Tool – COGNAS” organized by Dept. of CSE/MCA at DVR & HS MIC College of Technology, Kanchikacherla, between Jan 24-25th, 2008.
  • Attended A Two Day Refresher Course on “WEKA – A Data Mining Tool” organized by Dept. of CSE, IT & MCA at AITAM, Tekkali between December 28-29, 2007.
  • Attended Faculty Development Programme on “Instructional Design and Delivery” organized by NITTTR, Chennai at SVECW, Bhimavaram between Sep 3-8, 2007.
  • Attended Refresher Course on “Soft Computing Applications in Data Engineering” organized by Dept. of CSE & IT at SVECW, Bhimavaram between April 5-6 2007.
  • Undergone Training at Oracle University – Mumbai, between 02-July-2007 to 13-July-2007 for the modules “Introduction to Oracle 9i: SQL, Oracle 9i DBA Fundamentals”.
  • Attended a Three Day Refresher Course on “Mathematical Foundation on Data Mining Research” organized at Ritch Center, Visakhapatnambetween Dec 29-31, 2006.
  • Attended a Three Day Workshop on “Software Project Management” organized by Dept. of CSE, IT, Gudlavalleru Engineering College, Gudlavalleru between April 28–30, 2006.
  • Organized a three day workshop on “Artificial Intelligence using Python” from 6-8 march 2018, organized by dept. of CSE & IT, at SVECW
  • Organized One Day Guest Lecture on “Cloud Computing and its Trends” on 17-July-2017, in CSE Dept. for B.Tech Students.
  • Organized a Two Day Workshop on “Big Data and Hadoop” in svecw for B.tech and M.tech students in July-2016
  • Conducted a One Day Guest Lecture on “Confronting Security Issues in Operating Systems and Computer Networks” on 26-Feb-2016, for B.Tech CSE Students.
  • Organized a One Day Workshop “Big Data and Unified communications :: Rotary Workshop” for B.Tech students on 20-feb-2016
  • Coordinator for department level Workshop on “Coordination among Stakeholders in Software Project Management” conducted in Nov 2008.
  • Coordinator for “Soft Computing Applications in Data Engineering” workshop May 2007
  • Contributed as a Reviewer for ICDCOT-2024, organized by SJB instiute of Technology, Bengaluru, dates 15-16 March 2024.
  • Reviewer for IEEE International Conference on Integrated Intelligence and Communications Systems (ICIICS-2023) organized by Sharnbasva University, Kalaburagi, 24-25 Nov 2023.
  • Reviewer for 3rd IEEE International Conference on Mobile Networks and Wireless Communications (ICMNWC-2023) organized by Sri Siddhartha Institute of Technology, Tumakuru 04-05 Dec 2023.
  • Reviewer for IEEE International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE-2023) organized by Rao Bahadur Y Mahabaleswarappa Engineering College, Ballari 02-03 Nov 2023.
  • Reviewer for AICTE Sponsored IEEE International Conference on Networks, Multimedia and Information Technology (NMITCON), organized at NitteMeenakshi Institute of Technology, Bengaluru INDIA during 1st and 2nd September 2023 in association with IEEE Bangalore Section in Auly 2023.
  • Reviewer in EASCT-2023 conference dated 20th & 21st, October, 2023, organized by RV Institute of Technology and Management, Bengaluru.
  • Participated in International Conference on Intelligent Healthcare and Computational Neural Modelling (ICIHCNM-2024) organized by BVC Engg College, Odalarevu, during 24-25 Jan 2024, as SESSION CHAIR
  • Member in Technical Program Committee to the 3rd International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC-2023) held on 20-22 December 2023 in hybrid mode, organized by Department of Computer Science, Banaras Hindu University, Varanasi, India.
  • Placement Coordinator – Dept. of CSE (CRT, Placement Activities & Internships)
  • Coordinator for Mobhisure Full Stack Machine Learning & Cloud Internship programme
  • Arrangement of Virtual Alumni Interactions
  • Students – Higher Education
  • Student Mentoring / Counselling for Placements & Personality Development
  • NAAC – Criteria 7 College Coordinator
  • NBA – Criterial 3 CSE Dept. Coordinator
  • IQAC Coordinator – Dept. of CSE
  • CSE Dept. Budget Preparations
  • Project PRC members for Main/Mini Projects
  • Curriculum Content Development

UG Level:

  • Data Science, Machine Learning, Python, R, Operating Systems, DBMS, Data Mining, Cloud Computing, MPMC, Computer Networks, Big Data, Information Security, Blockchain, Computer Organization, Computer Networks, SNSW, Weka, Julia, SQL, SE.

 

PG Level:

  • Data Science, Operating Systems, DBMS

 

Others:

  • Taught 6 Operating System (OS) classes in ECET-CME on 20/9/23, 21/9/23, 23/9/23, 27/9/23, 30/9/23 & 4/10/23 at Smt. B. Seetha Polytechnic.

The recent publications and research contributions can be viewed from the following URLs:

Profile Link
Google Scholar https://scholar.google.com/citations?user=KmMJTjUAAAAJ&hl=en
Vidwan https://vidwan.inflibnet.ac.in//profile/148103
Research Gate https://www.researchgate.net/profile/Ramachandra-Rao-Kurada
ORCID https://orcid.org/0000-0002-7014-8313
Scopus https://www.scopus.com/authid/detail.uri?authorId=56974356300

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