Dr. Lakshmikanth Paleti



Designation: Associate Professor
Date of Joining:11-08-2022
Research Interests: Social Recommendation Systems, Big Data Analytics, Machine Learning.
Qualifications:
Ph.D, JNTUK, Kakinada
M.Tech, JNTUK, Kakinada
Total teaching experience in this college: 2 Years and 4 Months.
Total experience : 14 Years and 11 Months. (as on 26-12-2024)

Orcid icon vidwan icon WebofScience Scopus
International Journals: (SCIE-2, ESCI-3, SCOPUS Indexed-7, Others-5)
Papers Published in International Journals:15
  1. Lakshmikanth Paleti et al., Published paper entitled with "Foreign Exchange Rates Prediction using Fuzzy Based Support Vector Regression", in International Journal of Intelligent Systems and Applications in Engineering.12(2),2024, pp. 355-364, (Scopus).
  2. Lakshmikanth Paleti et al., Published paper entitled with "Crop, Fertilizer and Pesticide Recommendation using Ensemble Method and Sequential Convolutional Neural Network", in International Journal of Intelligent Systems and Applications in Engineering,12(2), 2024, pp. 473-485,(Scopus).
  3. Lakshmikanth Paleti et al., Published paper entitled with "Graph-based zero-shot learning for classifying natural and computer-generated image", in Multimedia Tools and Applications, 20th January 2024, https://doi.org/10.1007/s11042-023-18026-6. Springer (SCIE)
  4. Lakshmikanth Paleti et al., Published paper entitled with " Attention 3D-CU-Net: Enhancing Kidney Tumor Segmentation Accuracy through Selective Feature Emphasis", in IEEE (SCIE) 07 December 2023,ISSN No. 2169-3536,139798-139810, DOI: 10.1109/ACCESS.2023.3340912.
  5. Lakshmikanth Paleti et al., Published paper entitled with " Sugar Cane Leaf Disease Classification and Identification using Deep Machine Learning Algorithms", in Journal of Theoretical and Applied Information Technology., 2023, 101(20), pp. 6460–6472. (Scopus).
  6. Lakshmikanth Paleti et al., Published paper entitled with " A Machine Learning Framework for Generating Photorealistic Photos of Real Time Objects using Adam Optimizer by a Generative Adversarial Network (GAN)", in International Journal on Recent and Innovation Trends in Computing and Communication, VOL.10, Issue.12, December 2022. (Scopus).
  7. Lakshmikanth Paleti et al.,Published paper entitled with "Enhanced CNN Model for Brain Tumor Classification", in International Journal of Computer Science and Network Security, VOL.22, No.5, May 2022. (ESCI).
  8. Lakshmikanth Paleti, P. Radha Krishna, and J. V. R. Murthy. "User opinions driven social recommendation system." International Journal of Knowledge-based and Intelligent Engineering Systems 25, no. 1 (2021): 21-31. (ESCI & Scopus).
  9. Lakshmikanth Paleti, P. Radha Krishna, and J. V. R. Murthy. "Approaching the cold-start problem using communitydetectionbased alternating least square factorization in recommendation systems. "Evolutionary Intelligence (2020): 1-15.Springer (ESCI & Scopus).
  10. Lakshmikanth Paleti et al.,Published paper entitled with "Doors and Windows Curtains Controlling based on Environment Parameters", in JXAT Journal, Volume XII, Issue V, May-2020. (Scopus).
  11. Lakshmikanth Paleti et al.,"Provable Data Custody a Method Used in Multi Cloud Environment" in (IJSETR) International Journal of Scientific Engineering and Technology Research, Vol.5,No. 44, Nov-2016.
  12. Lakshmikanth Paleti et al.,"The Complete Reference and an Overview of Cloud Computing" in (IJARCSSE) International Journal of Advanced Research inComputer Science and Software Engineering, Vol.3, No. 11, 2013.
  13. Lakshmikanth Paleti et al.,"Secure Data transfer based on Conventional Encryption Technique including Random Number key generation" in (IJLTC) International Journal of Latest Trends in ComputingVol.2, No. 3, 2011.
  14. Lakshmikanth Paleti et al.,"Spatial Mining Process-Study on Implementation of Instances in Database Engine" in International Journal of Computer Science And Telecommunications, September-2011.
  15. Lakshmikanth Paleti et al.,"Transaction Level Modeling of High Level Dma Controller in Journal of Computing", July-2011.

Conferences: 09
International Conferences: 05
  1. Participated and presented a paper entitled “Drug Side Effects Prediction Using CS-CNN Approach.” 6th International Conference on Computational Intelligence & Data Engineering (ICCIDE - 2024) in association with Springer organized by the School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravati, Andhra Pradesh, India, during 9-10 August 2024.(Springer).
  2. Participated and presented a paper entitled "Artificial Intelligence Based Coronary Heart Disease Prediction in Real-Time Scenarios." In International Conference on Soft Computing and Signal Processing, pp. 297-307. Springer Nature Singapore, 2023.(Springer).
  3. Participated and presented a paper entitled "Clustering Multiple Views of Data through Many-objective Evolutionary Approach" 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin,2023, pp. 490-495, 10.1109/ICEARS56392.2023.10085188 (IEEE Xplore).
  4. Participated and presented a paper entitled "Hadoop Techniques for Concise Investigation of Big Data in Multi-Format Data Sets" 2017 2nd International Conference on Communication and Electronics Systems (ICCES), Coimbatore, 2017, pp. 490-495, doi: 10.1109/CESYS.2017.8321329 (IEEE Xplore).
  5. Participated and presented a paper entitled "Artificial Neural Networks for Speech-to-Text Conversation" in the 2nd International Conference on Emerging Technologies in Computer Science & Engineering, ICETCSE-10, on 12th & 13th Feb, 2010; Organized by Department of CSE, Velagapudi Ramakrishna Siddhartha Engineering College Vijayawada.
Nataional Conferences: 04
  1. Participated and presented a paper entitled "Some Studies on Big Data Analytics with Machine Learning" 3rd National Conference on Recent Advances in Computer Science & Engineering-2018, held from 27th to 28th January-2018, Organized by Department of CSE, Chalapathi Institute of Engineering and Technology, Lam.
  2. Participated and presented a paper entitled "Some Studies on Identification of RAAGA Emotions Using Gaussian Mixture Model" 2nd National Conference on Recent Advances in Computer Science & Engineering-2017, held from 11th and 12th February-2017, Organized by Department of CSE, Chalapathi Institute of Engineering and Technology, Lam.
  3. Participated and presented a paper entitled "Privacy Preserving Data Mining: A Hybrid Approach" A Two-Day National Conference (Damet-11) on Data Mining: Emerging Technologies, held from 16th and 17 th December-2011, Organized by Department of CSE & IT, Vignan's Lara Institute of Technology & Science, Vadlamudi.
  4. Participated and presented a paper entitled "Secured Data Transfer based on Conventional Encryption Technique including Random Number Key Generation" A Two-Day National Conference on Emerging Research Trends in Security and Privacy,2010, held from 19th to 20th November 2010, Organized by Department of CSE & IT, Vignan's Institute of Information Technology, Vishakhapatnam.

Patent Applications Published: (01)
Sl. No. Patent Title Applicant's/
Inventor's Name		 Country Name Patent Application No. Term of Patent Date of Filing Date of Publication Status
1 NATURAL LANGUAGE PROCESSING-POWERED CUSTOMER ENGAGEMENT PLATFORM FOR ENHANCING BUSINESS OPPORTUNITIES Dr. Lakshmikanth Paleti India 202341075834 A -- 06/11/2023 22/12/2023 Published

Professional Certifications: 06
Oracle Certifications: (03)
  1. Completed Oracle Cloud Infrastructure 2024 Certified AI Foundations Associate from Oracle University, Oct 07, 2024.
  2. Completed Oracle Certified Professional: Java SE 17 certification from Oracle University, Sep 23, 2024.
  3. Completed Oracle Cloud Infrastructure 2023 Certified Foundations Associate certification from Oracle University, July 03, 2024.
Infosys Certifications: (03)
  1. Completed Basics of Python course offered by Infosys Springboard on 13th Oct 2022.
  2. Completed Programming Fundamentals using Python - Part 1 course offered by Infosys Springboard on 19th Oct 2022.
  3. Completed Programming Fundamentals using Python - Part 2 course offered by Infosys Springboard on 21st Oct 2022.
Academic Achievements (NPTEL-SWAYAM/Certification Courses):
  1. Completed and Secured "ELITE + SILVER" in Programming in Java, course offered by NPTEL-SWAYAM during September - December 2020.
  2. Completed and Secured "ELITE + SILVER" in Introduction to Programming in C, course offered by NPTEL-SWAYAM during July - September 2019.
  3. Completed Python 101 for Data Science course on Cognitiveclass.ai powered by IBM developer skills network on May 22, 2020.
  4. Completed Python 3.4.3 Training, Spoken Tutorial Project, IIT Bombay, funded by National Mission on Education through ICT, MHRD, Govt., of INDIA on April 18, 2020.
  5. Completed and Secured Grade A+ in “Implementation of Data Structures”, course offered by IITBombayX conducted from 13 March 2018 to 18 December 2018.
  6. Completed and Secured Grade A+ in “Object-Oriented Programming”, course offered by IITBombayX conducted from 21 February 2017 to 12 December 2017.
  7. Completed and Secured Grade A in “Foundation of Data Structures”, course offered by IITBombayX conducted from 21 February 2017 to 12 December 2017.
  8. Received Mentor certificate from NPTEL for the Online Certification Course "Problem Solving through Programming in C" , JAN-APR 2023.

Professional Memberships: (03)
  1. Member of ISTE.
  2. Member of IAENG.
  3. Member of UACEE.

Book Chapters Published: (02)
  1. Lakshmikanth Paleti, P. Radha Krishna, and J. V. R. Murthy. "On recommender systems with big data." Handbook of Big Data Analytics: Applications in Ict, Security and Business Analytics 2 (2021): 197. (Web of Science & Scopus).
  2. Lakshmikanth Paleti et al.,"Comparative Study on Text-to-Image Synthesis Using GANs", ICT with Intelligent Applications , Volume volume 719, Year 2023, Pages 279-287. (Springer).

Subjects Taught:
  1. Object Oriented Programming through Java
  2. C Programming
  3. Foundations of Artificial Intelligence
  4. Python for Data Science
  5. Data Visualization
  6. Modern Web Applications
  7. Data Warehousing and Data Mining
  8. Web Technologies
  9. Hadoop and Big Data
  10. Machine Learning
  11. Object Oriented Analysis and Design
  12. Object Oriented Programming through C++
  13. Design and Analysis of Algorithms
  14. Social Networks and Semantic Web
  15. Advanced Social Text and Media Analytics

Faculty Development Programs: (27)
  1. Attended One Week Faculty Development Program on "Machine Learning and Predictive Analysis using Python" organized by Department of Computer Science and Engineering, NITTTR, Chandigarh from 20/11/2023 to 24/11/2023.
  2. Attended One Week Faculty Development Program on "Linux Applications in Engineering Education" organized by Department of Computer Science and Engineering, NITTTR, Chandigarh from 06/11/2023 to 10/11/2023.
  3. Attended One Week Faculty Development Program on "AI/ML and Data Science for Industry 4.0 ( Basic Level)" organized by Department of Computer Science and Engineering, NITTTR, Chandigarh from 21.08.2023 to 25.08.2023.
  4. Participated in 40 Hours Faculty Development Program on "Data Science and Analytics" Organised by E & ICT Academy, NIT Warangal and R.V.R. & J.C College of Engineering, Chowdavaram, Guntur., held from 09.08.2023 to 14.08.2023.
  5. Participated in a 5-Day Live International Faculty Development Program on "Data Science and ChatGPT" Department of CSE, KL University in association with ExcelR solutions, Banglore, held from 15-05-2023 to 19-05-2023
  6. Participated and earned satisfactory Grade in a Two-week online Faculty Development Program on "Smart Contract and Blockchain Technologies" Department of CSE, NIT Warangal in association with E & ICT Academy, NIT Warangal , Sponsored by Ministry of Electronics and Information Technology (MeitY), GoI., held from 30.01.2023 to 02.02.2023.
  7. Participated and earned satisfactory Grade in a One-week online Faculty Development Program on "Recent Trends in Applications of Emerging Technologies" Organised by Department of Computer Science and Engineering, VVIT, Nambur, Guntur(Dt.) in association with SOLETE Vijayawada, held from 28.11.2022 to 03.12.2022.
  8. Participated in AICTE recognized One-week Faculty Development Program on "Open Source Technologies" conducted by Department of Computer Science and Engineering, NITTTR, Chandigarh from 17.10.2022 to 21.10.2022.
  9. Attended One-Week FDP on “Machine Learning, Deep Learning and Natural Language Processing Toolkit with Hand-on Practice” organized by Chandigarh University, Gharuan, Mohali, from 02-08-2021 to 06-08-2021.
  10. Attended TEQIP-III Sponsored Five Days Workshop cum Faculty Development Program on DATA SCIENCES jointly organized by KNIT Sultanpur & MNNIT Allahabad, Prayagraj, on May 04-08, 2020.
  11. Attended One-Week FDP on Introduction to Programming in C, organized by NPTEL-AICTE during July - September 2019.
  12. Attended a Three-Day National Level DST Sponsored Workshop on “Cyber Security, Cryptanalysis and Security for Physical Infrastructure (under ICPS)” during 20th-22nd June, 2019 organized by Dept of IT, Vignan’s University, Guntur.
  13. Attended in a Two-Day National Level Seminar on “Geospatial technology for environmental sustainability at Indian scenario” sponsored by Science and Engineering Research Board (SERB) , Department of Science and Technology (DST), Government of India during 12th-13th March, 2019.
  14. Attended One-Week FDP on “Deep Learning”, organized by E & ICT Academy, NIT Warangal during 12-17th November 2018.
  15. Attended a Five-Day FDP on “Salesforce Cloud Trailhead Program”, conducted by ICT Academy during 22-26th December 2017.
  16. Attended Faculty Development Program on “Pedagogy for Online and Blended Teaching-Learning Process (FDP201x)”, on 16, 17 September 2017 and 07, 08 October 2017, conducted under the aegis of Pandit Madan Mohan Malaviya National Mission for Teachers and Teaching (PMMMNMTT), MHRD, GoI. Organized by IIT Bombay , in 1353, (R.V.R. & J.C College of Engineering), Chowdavaram, Guntur.
  17. Attended Faculty Development Program on “Foundation Program in ICT for Education (FDP101x)” on 19- 20 August 2017, conducted under the aegis of Pandit Madan Mohan Malaviya National Mission for Teachers and Teaching (PMMMNMTT), MHRD, GoI. Organized by IIT Bombay, at the Remote Center in 1353, (R.V.R. & J.C College of Engineering), Chowdavaram, Guntur.
  18. Attended in a Three-Day National workshop on “Data Science Research” a national workshop on 28th& 30th January 2017, organized by Department of CSE, University College of engineering& Technology, Acharya Nagarjuna University, Guntur.
  19. Attended DST sponsored Two-Week Faculty Development Program on “Big Data Analytics” from 26th April 2016 to 6th May 2016, organized by Department of CSE, held at K L University, Vaddeswaram.
  20. Participated in One Week Workshop on “Research Challenges and issues in Big Data and Cloud computing” from 27th January 2015 to 31st January conducted by JNTUK-University college of Engineering, Vizianagaram.
  21. Participated in the One-Week National level workshop on “BIG DATA ANALYTICS USING HADOOP ECO SYSTEMS” from 5th January to 11th January, 2015 organized by department of CSE, Lakkireddy Bali Reddy College of Engineering, Mylavaram.
  22. Attended National workshop on “Big Data Analytics” on 9th December 2014 and 10th December 2014 conducted by Dept of CSE, UCE&T, Acharya Nagarjuna University, Guntur.
  23. Attended in a Ten-Day ISTE workshop on “Database management systems”, on 21st to 31st May 2013, conducted by IIT-Bombay, National Mission on Education through ICT (MHRD).
  24. Attended in a Two-Day workshop on “Big-Data analytics” a national workshop on 17th& 18th April 2013, organized by Department of CSE, RVR&JC College of engineering, Guntur.
  25. Attended in a Three-Day workshop on “Research Perspective in Data Warehousing and Data Mining”, on 30th March to 1st April 2013,organized by Department of CSE, Sree Vidyanikethan engineering college, Tirupathi.
  26. Attended Faculty Development Program on Data Mining on 7th to 11th July 2012, Indo-US collaboration for engineering education organized by Vignan’s University, Vadlamudi, Guntur.
  27. Attended a Six-day program on Information Security from 23rd to 28th January 2012 organized by APSCHE in association with JNTUK Kakinada.

Short Term Training Courses: (08)
  1. Attended One Week Short Term Course on "Machine Learning and Predictive Analysis using Python" organized by Department of Computer Science and Engineering, NITTTR, Chandigarh from 26.07.2021 to 30.07.2021.
  2. Attended One Week Short Term Course on "Free Tools for Research and Publications" organized by Department of Computer Science and Engineering, NITTTR, Chandigarh from 27.07.2020 to 31.07.2020.
  3. Attended One Week Short Term Course on "Data Analytics with Python organized by Department of Computer Science and Engineering, NITTTR, Chandigarh from 22.06.2020 to 26.06.2020.
  4. Attended one-week Short Term Course on "Big Data Analytics" organized by Department of Computer Science and Engineering, NITTTR, Chandigarh from 18.05.2020 to 22.05.2020.
  5. Attended One Week Short Term Course on "Data Science using R" organized by Department of Computer Science and Engineering, NITTTR, Chandigarh from 11.05.2020 to 15.05.2020.
  6. Attended One Week STTP on "MULTI-Core Architectures and Programming" Sponsored by AICTE, conducted by RVR&JC College of Engineering from 26th August to 31st August 2019.
  7. Attended One Week Training Program on "NBA Accreditation and SAR Preparation", organized by NITTTR, Kolkata during 21th-25th January, 2019.
  8. Attended DST sponsored 21 Days Training Program on "GEO SPATIAL TECHNOLOGIES" from 14-10-2015 to 3-11-2015 conducted by Dept of CSE & CE, UCE&T, Acharya Nagarjuna University, Guntur.


Contact Details:
EMail: pakshmikanth@rvrjc.ac.in
Phones: +91 8632288254 Ext: 306