Profile
Name Dr. V. Rajalakshmi
Designation Associate Professor
Areas of Interest Data Structures & Algorithms,Operating System,Compiler Design,Smart Environments,Machine Learning
Room No. 5103
Intercom No. 314
Mobile 9176999190
Email Id (Official) vraji@svce.ac.in
Email Id (Personal) vraji1983@gmail.com
Qualification
  • Ph.D -Anna University, Chennai
  • M.E (Computer Science), Anna University, 2012. CGPA : 8.5
  • B.Tech ( Information Technology),Madras University, 2004. Score : 80%
Academic Experience
  • Working as Associate Professor in SVCE from November 2022 till date
  • Worked as Assistant Professor in SVCE from July 2010 to October 2022
  • Worked as Lecturer in SVCE from February 2005 to June 2010
Courses Handled

    Courses Handled

    Theory Courses

  • Machine Learning
  • Big Data Analytics
  • Data Mining and Data Warehousing
  • Advanced Object Oriented Programming
  • Multicore Architectures and Programming
  • Design and Analysis of Algorithms
  • Programming Paradigms
  • Programming and Data Structures I
  • Programming and Data Structures II
  • Theory of Computation
  • Web Technology
  • Data Structures
  • Object Oriented Programming
  • Operating System
  • Principles of Compiler Design
  • Fundamentals of Computing & Programming
  • Computer Architecture
  • System Software
  • Internet Programming
  • Automata Theory
  • Deep Learning

Laboratory Courses

  • Machine Learning Laboratory
  • Compiler Laboratory
  • Internet of Things Laboratory
  • Programming and Data Structures Laboratory I
  • Programming and Data Structures Laboratory II
  • Data Structures Laboratory
  • Operating Systems Laboratory
  • Java Laboratory
  • Object Oriented Programming Laboratory
  • Computer Programming Laboratory
  • Internet Programming Laboratory
  • System Software Laboratory
  • Compiler Laboratory
  • Artificial Intelligence Laboratory
Research & Consultancy
    PATENTS PUBLISHED

  • Dr.P.Sharon Femi, ASP/INT, Dr.A.Kala, ASP/INT, Ms.R.Saktheeswari, AP/INT, Dr.V.Rajalakshmi, ASP/CSE, Dr.A.Indumathi, ASP/INT, Ms.N.Uma, AP/INT and Ms.M.Sugacini, AP/INT published a patent titled “Smart walker for managing body alignment” in IPR journal on 12/01/2024.
  • Ms. V. Rajalakshmi, Asso Prof/CSE, Ms. G.R.Khanaghavalle, Asst Prof/CSE, Dr.A.Kala, Asso Prof/INT, Dr. P.Sharon Femi, Asso Prof/INT, Dr. R.Jayabhaduri, Prof/CSE, Mr.B.Divyamsh, III B.Tech AD, Mr.R. Iyyappan, III B.Tech AD, and Mr S.Nanda Kumar, III B.Tech AD published a patent titled “IOT Based WiFi Enabled Smart Gardening System” in IPR journal on 10/02/2023.
  • Dr. P.Sharon Femi, Asso Prof/INT, Dr.A.Kala, Asso Prof/INT,Ms. V. Rajalakshmi, Asso Prof/CSE, Ms. G.R.Khanaghavalle, Asst Prof/CSE, Ms R Saktheeswari, Asst Prof/INT, Ms. M. Harini Padma, II B.Tech INT and Ms. L. Krithika, II B.Tech INT published a patent titled “Smart Electricity Generation Using Piezoelectric Effect” in IPR journal on 24/03/2023.

    • CONSULTANCY PROJECT

  • Dr.R.Jayabhaduri Associate Professor/CS, and Ms.V.Rajalakshmi, Assistant Professor/CS along with Undergraduate CS students Mr.E.Rakesh, Ms.S. Saineha, Ms. A.Roshini, Ms.V.Sandhya, Mr.Akash Nixon, Mr.G.Rahul and Mr.S.S.Selva Balaji carried out the consultancy project “Robotic Process Automation for Document Tagging – Banking, Financial Services and Insurance (BFSI)” assigned by Cameo Corporate Services Limited, Chennai between September 10,2021 and December 10,2021 for Rs. 1,50,000/-

    • INTRAMURAL FUNDING

  • Ms. M. Gayathri, Ms. R. N. Sakthi, Mr. K. B.Sumaant K B of IV Yr AD under the mentorship of Dr. V. Rajalakshmi, Associate Professor/CSE received an Intramural Grant of Rs. 9500/- for the UG Project titled “HeritageScript- An AI-Powered Digitization for Regional Language Records” for the academic year 2024-2025.
  • Ms. C. Dhivya, Ms. R. S. Harshini and Ms. Hemavarshini of IV Yr CS under the mentorship of Ms. V. Rajalakshmi, Assistant Professor/CS received an Intramural Grant of Rs. 10000/- for the UG Project titled “Receipt Digitization for Expense Tracking using ML Algorithms” for the academic year 2021-2022.
    PAPERS PUBLISHED

  • Sharon Femi Paul Sunder Nathaniel, Kala Alwarsamy, Rajalakshmi Viswanathan, Ganesh Vaidyanathan Subramanian and VidhyaVeerabahu. (2024). “The influence of feature grouping algorithm in outlier detection with categorical data”, ActaScientiarum. Technology, Vol. 46, p. e66902.
  • Rakshith Raj V S, Nirupama R, Nithish Kumar B, Yuvan Kalyan C V and Rajalakshmi V. (2023). “Gender and Race Recognition System with Age Estimation using Convolutional Neural Network”, 2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE), Dubai, United Arab Emirates, 2023, pp. 1-6, doi: 10.1109/ICECCE61019.2023.10442156.
  • Girther T, Yashwanth Krishnan A, Ceralaathan G, Sai Sailesh S, Rakshith Raj VS and Rajalakshmi V. (2023). “Speaker Identification System To Enhance Real-Time Security Using Convolutional Neural Network”, 2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE), Dubai, United Arab Emirates, 2023, pp. 1-6, doi: 10.1109/ICECCE61019.2023.10442699.
  • Nambirajan, V., Rajalakshmi, V. (2024). Climatological Rainfall Forecasting Using LSTM: An Analysis of Sequential Input and Data Window Input Approaches. In: Nanda, S.J., Yadav, R.P., Gandomi, A.H., Saraswat, M. (eds) Data Science and Applications. ICDSA 2023. Lecture Notes in Networks and Systems, vol 821. Springer, Singapore. https://doi.org/10.1007/978-981-99-7814-4_25.
  • Rajalakshmi V, Srilekha P and MurahariA H., (2024) “3D Avatar Assistant Integrated with Sign Language Translation System for Deaf and Mute People ” Proceedings of 2nd National Conference on Innovative Computing Research and Cutting Edge Technologies, Computer Science and Engineering, Sri Venkateswara College of Engineering.
  • A Kala, P Sharon Femi, V Rajalakshmi, S Kalavathi and K Ashwini. (2023). “Face Mask Detection and Social Distance Monitoring with Deep Learning”, Indian Journal Of Science And Technology, Vol. 16, No. 25, pp. 1888-1897.
  • A. Kala, P Sharon Femi and V Rajalakshmi. (2023), “Monthly Rainfall Forecasting using Sequential Models”, 5th International Conference on Computational Intelligence in Pattern Recognition, To be published in Springer Book Series.
  • Visakan Nambirajan and V. Rajalakshmi. (2023). “Climatological Rainfall Forecasting using LSTM: An Analysis of Sequential Input and Data Window Input Approaches”, 4th International Conference on Data Science and Applications, To be published in Springer Book Series.
  • V. Rajalakshmi and S. Ganesh Vaidyanathan. (2022). “MLP-PSO framework with dynamic network tuning for traffic flow forecasting,” Intelligent Automation & Soft Computing, Vol. 33, No.3, pp. 1335–1348. (Annexure I Journal)
  • V. Rajalakshmi and S. Ganesh Vaidyanathan. (2022). “Hybrid Time Series Forecasting Models for Traffic Flow Prediction”, Promet-Traffic & Transportation, Vol. 34, No. 4, pp. 537-549. (Annexure I Journal)
  • Rajalakshmi V, Ganesh Vaidyanathan S. (2021) “Hybrid CNN – LSTM for Traffic Flow Forecasting” RTU TEQIP-III Sponsored 2nd International Conference on Artificial Intelligence: Advances and Applications (ICAIAA 2021) will be published in Springer Book Series, ‘Algorithms for Intelligent Systems’. during March 27 & 28, 2021 organized by Poornima College of Engineering, Jaipur and Rajasthan Technical University Kota.
  • Rajalakshmi V, Ganesh Vaidyanathan S. (2020) “A comparative study of machine learning algorithms for traffic flow forecasting” Virtual International Conference on Smart Materials & Emerging Technologies for Industry 4.0 (SMETI2020)” during 16th & 17th October, 2020 organized by SVCE.
  • Jayashri P, Rajalakshmi V. (2020) “Dimensionality Reduction Method for Prediction of Parkinson Disease using Speech Data” International Journal for Research in Applied Science and Engineering Technology (IJRASET), Vol. 8, No. 5, pp. 2319-2322.
  • Sushmitha C, Subhasree J, Thushara S S and Rajalakshmi V. (2020) “Traffic Rules Violation Detection System” International Research Journal of Engineering and Technology (IRJET), Vol. 7, No. 4, pp. 1702 – 1704.
  • Sandhya Rao P, Shwetha Goldie U, Viswapujitha S and Rajalakshmi V. (2020) “Brain Tumor Multi-Classification using Convolutional Neural Network” International Research Journal of Engineering and Technology (IRJET), Vol. 7, No. 4, pp. 2419 – 2423.
  • Rajalakshmi V, Sasikala D and Kala A. (2019) “A Predictive Analysis for Heart Disease Using Machine Learning” International Conference on Recent Advances in Communication, Energy and Sensors(RACES-2019), Sathyabama University in association with University of DERBY, 13th -15th November, 2019.
  • Sasikala D, Rajalakshmi V and Jayabhaduri R. (2019) “Disaster Management System Using Intelligent Underwater Robot” National Conference on Recent Advances in On- Board Ship Automation (RAOBSA 2019), Sponsored by AICTE, AMET University, Chennai, 26th & 27th September, 2019.
  • Pavithra B and Rajalakshmi V. (2020) ”Heart Disease Detection using Machine Learning Algorithms”, Emerging Trends in Computing and Expert Technology. COMET 2019. Lecture Notes on Data Engineering and Communications Technologies, Vol 35. Springer, Cham, pp.1131-1556.
  • Rajalakshmi V, Ganesh Vaidyanathan S. (2019) “Efficient Traffic Management on Road Network Using Edmonds–Karp Algorithm”, Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, Vol 714. Springer, Singapore, pp. 577-583.
  • Femi D and Rajalakshmi V. (2016) “Early Detection of Common CT Imaging Signs Of Lung Diseases Using ELM”, Universal Research Journal of Engineering Sciences, Vol. 3(3), pp. 1-4.
  • Rajalakshmi V, Susan Elias. (2013) “Efficient Representation of Smart Environments using a Parallelized Approach”, International Journal on Information Technology, 3(1):1-4.
  • Susan Elias, Rajalakshmi V and Sivaranjani S. (2012) “Representation of Smart Environments Using Distributed P Systems”, Advances in Communication, Network, and Computing. CNC 2012. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol 108. Springer, Berlin, Heidelberg, pp. 159-164.
    BOOK CHAPTERS PUBLISHED

  • G.R. Khanaghavalle, V. Rajalakshmi, R. Jayabhaduri, A. Kala, P. Sharon Femi, A Deep LSTM Recurrent Learning Approach for Sentiment Analysis on Movie Reviews, Auerbach Publications, Pages10, eBook ISBN9781003407959, 2024.
Conference / Workshop / FDP
    NPTEL COURSES COMPLETED

  • “Python for Data Science” -(Aug – Oct 2019) – Elite Grade
  • “Data Mining” -(Jan – Apr 2019) – Elite Grade
  • “Business Analytics and Data Mining Modelling Using R : Part II” – (Aug – Oct 2018) – Elite Grade
  • “Data Science for Engineers” – Feb-Mar 2018 (Eight Week Course) – Elite Grade
  • “Introduction to Machine Learning” – Aug-Sep 2017 (Eight Week Course) – Elite Grade
    COURSERA COURSES COMPLETED

  • AI for Everyone (4 Week Course)– April 2020.
  • Programming for Everybody (Getting Started with Python)! (7 Week Course)– April 2020.
    MICROSOFT CERTIFICATION

  • Cleared Microsoft Certification Test on DBMS on December 26th, 2014
    WORKSHOPS ORGANIZED

  • Six Day Rapid Learning Program on “From Dream to Reality: AI Leading the Future” from 18/03/2024 to 23/03/2024.
  • Ten day Workshop series on “From Scratch to Deployment: Hands-On Model Building with Keras and TensorFlow” from 14/10/2024 to 25/10/2024.
  • 12 Day Alumni Workshop Series on “Building the Future with Applications of Generative AI” from 10/02/2025 to 22/02/2025.
  • National Workshop on “How to build your own drone” organised by Sri Venkateswara College of Engineering between 20/03/2023 and 21/03/2023.
  • Online Short Term Training Programme on “Python for Data Science” from 24/06/2021 to 03/07/2021.
  • Online Webinar on Project Management System – Agile Scrum on 14/06/2021.
  • National Workshop On “Deep Learning Simplified” in association with Hexaware Technologies Limited on March 11 & 12, 2020.
  • National Workshop On “Internet of Things | NoSQL Databases” on August 30, 2019.
  • Short Term Training Programme on “Transition from Machine Learning -> Deep Learning: Text, Image and Speech Processing” during November 12-17, 2018.
  • National Workshop on “Deep Learning: Text Analysis and Image Processing” (NWDLTAIP’18) on March 8th and 9th, 2018.
  • National Workshop on “Big Data : Streaming Analytics and Applications” (NWBDA17) in association with Aspire Systems India Private Limited, Siruseri, Chennai on March 25th,2017.
  • National Workshop on “Data Analytics and Business Intelligence” (NWDABI’16) in association with Cognizant Technology Solutions, Siruseri, Chennai on Dec 5th,2016 and Dec 9th,2016.
    WORKSHOPS ATTENDED

  • Industry Supported 5-Days Online STTP on “Recent trends and applications in IoT” organized by the Computer Society of India – SVCE Student Chapter at Department of Information Technology, Sri Venkateswara College of Engineering from 27/02/2024 to 04/03/2024.
  • ATAL Sponsored Six days FDP on Artificial Intelligence for Next-Generation Industrial Cyber-Physical Systems at Amrita Vishwa Vidyapeetham, Chennai from 18/12/2023 to 23/12/2023.
  • 2nd National Conference on Innovative Computing Research and Cutting Edge Technologies in Computer Science and Engineering” in association with ICT Academy, Department of Computer Science and Engineering, Sri Venkateswara College of Engineering on 03/05/2024.
  • 2023 International Conference on Electrical, Communication and Computer Engineering (ICECCE), Dubai, United Arab Emirates on 30/12/2023 & 31/12/2023.
  • International Conference on Data Scienceand Applications, Malaviya National Institute of Technology Jaipur, India from 14/07/2023 to 15/07/2023.
  • International Conference on Recent Trends in AI and IOT, Centre for Research, Anna University, Chennai from 06/03/2024 to 08/03/2024.
  • STTP on Education 5.0 organised by Mr. MGR Educational and Research Institute from 15/05/2023 to 19/05/2023.
  • Cyber Security Governance and Risk Management for Modern India: Challenges and Opportunities organised by Sri Venkateswara College of Engineering from 27/04/2023 to 28/04/2023.
  • International STTP on “Advanced Approaches and Insights on Artificial Intelligence and Deep Learning in Health Care” organised by Sri Venkateswara College of Engineering from 27/03/2023 to 31/03/2023.
  • PDP on Guidance and Counselling organised by NITTTR, Chennai from 14/11/2022 to 18/11/2022.
  • Walkthrough from AI and ML to XAI organised by Sri Venkateswara College of Engineering from 26/10/2022 to 29/10/2022.
  • One day Workshop on Curriculum Development organised by Sri Venkateswara College of Engineering on 18/10/2022.
  • Two Days Online National workshop on Edge computing and its applications organised by Department of Computer Science and Engineering, SSN College of Engineering from 26/08/2022 to 27/08/2022.
  • Three Days National workshop on Applications of Deep Learning in Computer Vision organized by Department of CSE, SSN College of Engineering from 10/02/2022 – 12/02/2022.
  • AICTE ATAL Online FDP on Bio-inspired computing for data analytics organised by Lakireddy and Bali Reddy College of Engineering from 08/02/2022 to 12/02/2022.
  • AICTE ATAL Online FDP on Intelligent Transport Systems organised by Hindustan Institute of Technology and Science from 05/07/2021 to 09/07/2021.
  • AICTE ATAL Online FDP on Predictive Intelligence Models and its Applications organised by National Engineering College from 12/07/2021 to 16/07/2021.
  • AICTE ATAL Online FDP on Human Centre Computing organised by Gauhati University Institute of Science and Technology from 15/02/2021 to 19/02/2021.
  • International Webinar on BLOCKCHAIN 101 organized by Department of Information Technology, Sri Venkateswara College of Engineering on 06/06/2020.
  • Webinar on Oracle Cloud organized by Department of Computer Science and Engineering, Sri Venkateswara College of Engineering on 19/06/2020.
  • International Webinar on “Lean Manufacturing in Automobile Industry – Case Study” organized by Department of Mechanical Engineering, Sri Venkateswara College of Engineering on 27/06/2020.
  • Webinar on “Unmanned Aerial Vehicle- A Sky Boon” organized by Department of Mechanical Engineering, Sri Venkateswara College of Engineering on 04/07/2020.
  • Three Days Online Workshop on Data Science and Machine Learning organized by Department of Information Technology, Sri Venkateswara College of Engineering from 26/06/2020 to 28/06/2020.
  • Webinar on “Introduction to Bagging – An understanding of RANDOM FOREST” organized by Department of Information Technology, Sri Venkateswara College of Engineering on 11/07/2020.
  • Webinar on Brain Computer Interface Robot organized by Pantech on 12/07/2020.
  • International Webinar on “Cloud Computing for Everyone”, organized by Department of Mechanical Engineering, Sri Venkateswara College of Engineering on 19/07/2020.
  • Online webinar on “Mathematical Modeling in Biology” organized by Department of Applied Mathematics, Sri Venkateswara College of Engineering on 23/07/2020.
  • 5 day National Level Faculty Development Program on “Emerging Technologies for Sustainable Universe organized by SEEK from 27/07/2020 to 31/07/2020.
  • Webinar on Introduction to Enterprise Architecture and Deep Dive on Business Architecture organized by Department of Information Technology, Sri Venkateswara College of Engineering on 12/06/2020.
  • Online webinar on “Mathematical Modelling and Problem Solving Using SageMath” organized by Department of Applied Mathematics, Sri Venkateswara College of Engineering on 04/08/2020 and 05/08/2020.
  • INTERNATIONAL WEBINAR SERIES on “LASER-Activated Drugs for Cancer Treatment: A Potential Alternative to Conventional Chemotherapy” organized by Department of Applied Physics, Sri Venkateswara College of Engineering on 03/08/2020.
  • Webinar on “Application of Queueing systems to Telecommunications” organized by Department of Applied Mathematics, Sri Venkateswara College of Engineering on 06/08/2020.
  • Online Faculty Development Programme on “Data Science” organized by Centre for Data Science and Artificial Intelligence in association with Computer Society of India, Rajalakshmi Institute of Technology from 24/08/2020 to 28/08/2020.
  • Online Webinar on “Women in Technology” organized by Department of Computer Science and Engineering, Sri Venkateswara College of Engineering on 10/09/2020.
  • Online STTP on Building Intelligent Applications with Deep Learning using Pytorch organized by Rajalakshmi Institute of Technology from 05/10/2020 to 10/10/2020.
  • STTP on AI in Heathcare organised by SSN College of Engineering from 14/12/2020 to 20/12/2020.
  • Faculty Enablement Program on FP 5.0 from 23rd April to 27th April 2018 at Rajalakshmi Engineering College, Chennai.
  • Workshop on Scope for R&D Projects and Proposal Preparation at Anna University on 12/05/2017.
  • FDTP on Data Analytics at SVCE between 05/06/2017 to 07/06/2017
  • Workshop on Implementation of CloudSim and Hadoop held at SVCE on Febraury 5th and 6th, 2016.
  • ADCOM Conference at IITM – Chennai on September 18th and 19th, 2015
  • Workshop on R Tool at CSE Department, SVCE on December 4th, 2014
  • Workshop on Large Scale Machine Learning organised in association with Ericsson Research on November 13 & 14th, 2013 at SVCE.
  • One day Workshop on “Membrane Computing” held at SVCE on 4th October 2011.
  • Data Mining : A Research Perspective on March 24th and 25th, 2011
    PROJECTS MENTORED

  • Mentor for the team Divyamsh B III B.Tech AD in the preliminary round of YESIST’12 2023, an International hackathon organised by Sri Sivasubramaniya Nadar College of Engineering on 31st March 2023.
  • ADCOM Student Design Competition in 2016
    LECTURES DELIVERED

  • Delivered a lecture on the topic “Machine leaning classifiers using Python” in the Value added course on signal processing using simulation tools organized by the Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering on 02/02/2024.
  • Delivered a lecture on the topic “Third Generation Neural Networks” in the Anna University Sponsored FDTP organized by the Department of Computer Science and Engineering, Rajalakshmi Institute of Technology on 07/02/2024.
  • Delivered a lecture on the topic “Advanced Neural Networks – Hands on Training” in the Six Day physical mode Anna University sponsored FDTP on CCS355-Neural Networks and Deep Learning organized by the Department of Information Technology, Sri Venkateswara College of Engineering on 05/07/2024.
  • Delivered a lecture on the topic “Backpropagation Neural Network” in the Value Added Course VD22702 – Artificial Neural Networks organized by the Department of Electronics and Communication Engineering, Sri Venkateswara College of Engineering on 13/09/2024.
  • Delivered a lecture on the topic “Backpropagation and Gradient Descent” in the Ten day Workshop series on “From Scratch to Deployment: Hands-On Model Building with Keras and TensorFlow” organized by the Department of Computer Science and Engineering, Sri Venkateswara College of Engineering on 16/10/2024.
  • Delivered a lecture on the topic “Generative AI for Coding and Automation” in the 12 Day Alumni Workshop Series on “Building the Future with Applications of Generative AI” organized by the Department of Computer Science and Engineering, Sri Venkateswara College of Engineering on 10/02/2025.
  • Delivered a lecture on the topic “Time Series Forecasting Models using Python” in FDP on Machine Learning and Deep Learning at CARE Engineering College, Trichy on 27/01/2023.
  • Delivered a lecture on the topic “Introduction to Python” in the value added course “VD18702-Signal Processing using Simulation Tool” organised by Department of Electronics and Communication Engineering, SVCE.
  • Delivered a lecture on the topic “Time Series Forecasting Models” in the Online Short Term Training Programme on “Python for Data Science” from 24/06/2021 to 03/07/2021.
  • Delivered a lecture on the topic “Hands-on session in Supervised Learning Algorithms” in the National Workshop On “Deep Learning Simplified” in association with Hexaware Technologies Limited on March 11, 2020.
  • Delivered a lecture on the topic “R-Programming – Data Grouping, Data Summarizing and Functional Programming” organized by ECEA and IETE-SF on February 14, 2020 at ECE Dept., SVCE.
  • Delivered a lecture on the topic “NoSQL Databases” in Two days Hands on Workshop on Multitudinal Databases during October 16th – 17th, 2019 at CSE Dept., SVCE.
  • Delivered a lecture on the topic “Supervised Learning” in Six days Faculty Development Program (FDP) on“ Machine Learning & Cyber Security ” December 9th – 14th 2019 at CSE Dept., SVCE.
  • Delivered a lecture in the topic “Multithreading and Exception Handling in Python” at Five days Value Added Course in Python Programming during December 4th – 8th, 2018 at IT Dept., SVCE.
Laboratory Handled
Training Attended
Additional Responsibilities
    CURRENT RESPONSIBILITIES

  • Exam Coordinator
  • PG Project Coordinator
  • NBA Coordinator
  • Lab Incharge – CS Lab 11
    PREVIOUS RESPONSIBILITIES

  • Faculty Advisor for CS C1 (BATCH :2016-2020) R.No : 125-156
  • Faculty Advisor for CS C3 (BATCH : 2012-2016) R.No : 151-173
  • Department UG Project Coordinator
  • Class Committee Chairperson for III Year
  • Additional Incharge for University Exam Result Analysis
  • Intranet Development and Maintenance.
  • Department Meeting Minutes Incharge
  • Department TAU Incharge
  • Faculty Advisor : AD (Batch : 2020 – 2024) – Reg No. 2127200502001 – 2127200501018
  • UG Project Coordinator
Achievements
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