COMPUTER SCIENCE AND ENGINEERING

Ms. Kandula Neha

Ms. Kandula Neha

Assistant Professor
neha.k@bvrithyderabad.edu.in

AICTE ID: 1-3576867921
JNTUH ID: 9293-170128-120230
Ratified Status: Ratified

Ph.D.: (Pursuing) – Lovely Professional University
M.Tech.: Keshav Memorial Institute of Technology, JNTUH, 2016
B.Tech.: Sai Sudhir Institute of Engineering and Technology for Women, JNTUH, 2014

Teaching Experience: 5 Years
Research Experience: Nil
Industry Experience: 2 Years

Scopus ID: 57210356977
WoS ID:ITV-9708-2023
Google Scholar ID:  R3iLaE4AAAAJ
Vidwan ID:  393551
ORCID ID: 0000-0001-5103-3716

Machine Learning & Deep Learning

Nil

  1. Neha, K., Kumar, R., Sankat, M. (2024). AI Wizards: Pioneering Assistive Technologies for Higher Education Inclusion of Students with Learning Disabilities. In: Kaluri, R., Mahmud, M., Gadekallu, T.R., Rajput, D.S., Lakshmanna, K. (eds) Applied Assistive Technologies and Informatics for Students with Disabilities. Applied Intelligence and Informatics. Springer, Singapore. https://doi.org/10.1007/978-981-97-0914-4_4
  2. Kandula Neha, Ram Kumar, Monica Sankat. “A Comprehensive Study on Student Academic Performance Predictions Using Graph Neural Network.” Concepts and Techniques of Graph Neural Networks, edited by Vinod Kumar and Dharmendra Singh Rajput, IGI Global, 2023, pp. 167-185. https://doi.org/10.4018/978-1-6684-6903-3.ch011
  3. S. Jahangeer Sidiq, Sibani Mohanty, Kandula Neha, “Data Mining in Practice”, LAP LAMBERT Academic Publishing (January 19, 2021), ISBN-10 : 6203303615.
  1. Prasudha, M.L., Sukhavasi, V., Neha, K. et al. Feature selection algorithm assisted residual channel attention spatio-temporal auto encoder for video anomaly detection. SIViP 19, 148 (2025). https://doi.org/10.1007/s11760-024-03640-0
  2. Neha, K. & Kumar, R. (2024). Deep Learning Perspective on Assessing and Elevating Engineering Student’s Performance. Journal of Computer Science, 20(11), 1455-1469. https://doi.org/10.3844/jcssp.2024.1455.1469
  3. Kandula Neha, Kumar, Ram. Enhancing Graduate Academic Performance Prediction and Classification: An Analysis Using the Enhanced Correlated Feature Set Model.Ingenierie des Systemes d’ Information; Edmonton Vol. 28, Iss. 6,  (Dec 2023): 1605-1612. DOI:10.18280/isi.280617.
  4. Kandula Neha, Jahangeer Sidiq, Zaman, M. (2021). Deep neural network model for identification of predictive variables and evaluation of student’s academic performance. Revue d’Intelligence Artificielle, Vol. 35, No. 5, pp. 409-415. https://doi.org/10.18280/ria.350507.
  5. Kandula Neha, S Jahangeer Sidiq. A Study on Prediction of Student Academic Performance based on Expert Systems, Turkish Journal of Computer and Mathematics Education Vol.12 No. 7 (2021), 1483-1488https://doi.org/10.17762/turcomat.v12i7.2950.
  6. Siddhartha Ghosh, Kandula Neha, Sushanth Mogili, Pranav Pisipati. Applications of Data Science and Machine Learning in E-Commerce, The International journal of analytical and experimental modal analysis, Volume XIII, Issue I, January/2021, ISSN NO:0886-9367, Page No:893
  7. Siddhartha Ghosh, Kandula Neha, Nikhitha Bijjala, Manojna Yakkaladevara, Applications of Data Analytics in E-Governance, The International journal of analytical and experimental modal analysis , Volume XIII, Issue I, January/2021, ISSN NO:0886-9367, Page No:886.
  1. Kandula Neha, Jahangeer Sidiq. Analysis of Student Academic Performance through Expert systems. International Research Journal on Advanced Science Hub, 2020; 2(Special Issue ICIES 9S): 48-54. doi: 10.47392/irjash.2020.158
  2. Kandula Neha. Role of Artificial Intelligence in Education, Alochana Chakra Journal, ISSN NO:2231-3990, Volume IX, Issue IX, September/2020, ISSN NO:2231-3990,Page No:305.
  3. Siddhartha Ghosh, Kandula Neha, Y Praveen Kumar. Data Wrangling using Python, Proceedings International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-2S11, September 2019,Retrieval Number: B14270982S1119/2019©BEIESP | DOI: 35940/ijrte.B1427.0982S1119
  4. Siddhartha Ghosh, Kandula Neha. Social Media Analytics using Qlik Connectors, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-8, Issue-2S11, September 2019.
  5. Siddhartha Ghosh, Kandula Neha, Ballari Saha. Self-Learning & Placements, International Journal of Engineering, Applied and Management Sciences Paradigms (IJEAM), Volume 54 Issue 1, ISSN 2320-6608, April 2019.
  6. Siddhartha Ghosh, Kandula Neha, Ballari Saha. Use of Natural User Interface in E-Learning, International Journal of Engineering, Applied and Management Sciences Paradigms (IJEAM), Volume 54 Issue 1, ISSN 2320-6608, April 2019.
  7. Siddhartha Ghosh, Kandula Neha, Ballari Saha. Measuring Health Status at workplace, Global Journal of Engineering Science and Researches GJESR ISSN 2348 – 8034 DOI- 10.5281/zenodo.1441091 Impact Factor- 5.070, September-2018.
  8. Siddhartha Ghosh, Kandula Neha, Ballari Saha. Student Performance and Academic Pattern Analysis, International journal of Scientific Research in Science Engineering & Technology © 2018 IJSRSET | Volume 4 | Issue 4 | Print ISSN: 2395-1990 | Online ISSN : 2394-4099, March – April 2018
  9. Siddhartha Ghosh, Kandula Neha, Ballari Saha. Enhancing Traditional Academic Processes Using Analytics, IICMR International Research Journal I4,Vol,12, Issue 1, Feb 2018,ISSN No.0975 2757 SJIF 2016:4.8
  10. Siddhartha Ghosh, Kandula Neha. Mobile Security, International Journal of Research, Special Issue in UGC Approved Journal e-ISSN: 2348-6848 p-ISSN: 2348-795X Volume 04 Issue 11 September 2017.
  11. Siddhartha Ghosh, Kandula Neha. Mobile Phone and Android Security Issues, International Journal of Innovations & Advancement in Computer Science IJIACS ISSN 2347 – 8616 Volume 6, Issue 10 October 2017.
  12. Mandala Prathyusha, Kandula Neha. Detecting and Reducing the Effect of an Adversarial Corruption of Sensor Data in Liner Dynamical System, International Journal For Technological Research In Engineering Volume 4, Issue 12, August-2017.
  13. Kandula Neha, Mandala Prathyusha. Detecting Malicious Facebook Applications by Implementing an Accurate Classifier, International Journal for Technological Research In Engineering Volume 4, Issue 12, August-2017.
  1. Kandula Neha, Ram Kumar. Graduation student academic performance analysis using corelated feature model. Proceedings of the International Conference On Networks, Intelligence and Computing (ICONIC 2023).Published in Kumar, A., Sharma, G., Sharma, A., Chopra, P., & Rattan, P. (Eds.). (2024). Advances in Networks, Intelligence and Computing: Proceedings of the International Conference On Networks, Intelligence and Computing (ICONIC 2023) (1st ed.). CRC Press. https://doi.org/10.1201/9781003430421
  2. Kandula Neha, Ram Kumar, Artificial intelligence’s involvement in education and student’s academic performance. Proceedings of the Recent Advance Computing Sciences (RACS 2022). Published in Sheikh, S., Sharma, M., & Singh, A. (Eds.). (2023). Recent Advances in Computing Sciences: Proceedings of RACS 2022 (1st ed.). CRC Press. https://doi.org/10.1201/9781003405573.
  3. Kandula Neha, Ram Kumar, Jahangeer Sidiq. S, Zaman.M. (2023). Deep Neural Networks Predicting Student Performance. Proceedings of 3rd International Conference on Data Science and Applications (ICDSA 2022) held on March 26-27, 2022. Published In: Saraswat, M., Chowdhury, C., Kumar Mandal, C., Gandomi, A.H. (eds) Proceedings of International Conference on Data Science and Applications. Lecture Notes in Networks and Systems, vol 552. Springer, Singapore. https://doi.org/10.1007/978-981-19-6634-7_6.
  4. Siddhartha Ghosh, Kandula Neha. Sales Analysis and Performance of super store using Qlik Geo Analytics, International Conference on Advances in Computational Intelligence and Informatics (ICACII-2019), Department of Computer Science and Engineering, Anurag Group of Institutions, Hyderabad, 20th and 21st December 2019. Published in , Advance in Computational Intelligence and Informatics, pp 151-157,Lecture Notes in Networks and Systems book series (LNNS, volume 119), https://doi.org/10.1007/978-981-15-3338-9_19
  5. Siddhartha Ghosh, Kandula Neha, Ballari Saha. Aviation Safety Analysis using Data Analytics, Proceedings in International Conference on Communication and Advance Computing (ICOCAC-2018),Dept of Computer Science, Electronics & Communication and Electrical & Electronics Engineering, K G Reddy College of Engineering & Technology, Hyderabad, 20th & 21st December 2018, Published in , JASC Journal of Applied Science and Computations, Volume VI, Issue 11, ISSN NO : 1076 – 5131, February 2019.
  6. Siddhartha Ghosh, Kandula Neha, Ballari Saha. Data Analytics in Academics, Proceedings in International Conference on Data Science and Analytics (ICDSA – 17) Rathinam College of Arts and Science, Dept of Computer Science, Coimbatore,     23rd September 2017, Published by CiiT – Coimbatore Institute of Information Technology
  1. ELSM- Quantum Computing: EXTREMELY LARGE DATABASES STORE INTO A SMALL MEMORY USING QUANTUM COMPUTING. 2020102026.
  2. IOT AND MACHINE LEARNING-DRIVEN PLATFORMS FOR INTELLIGENT ENVIRONMENTAL POLLUTION MONITORING AND MANAGEMENT. No 202421080563

Nil

ACM

Nil

Nil

Nil

Hands-on Workshop on “Scrum Master and Product Manager” was conducted by Resource Person Mr. Deekshit Manusani, Infovision Labs India Pvt. Ltd

  1. “MASTERING CLOUD COMPUTING ESSENTIALS WITH AWS” FDP organized by Computer Science and Engineering Department, National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh from 3rd March 2025 to 7th March 2025.
  2. “OUTCOME BASED EDUCATION AND ACCREDITATION PROCESS” FDP organized by curriculum Development Center Department, National Institute of Technical Teachers Training and Research (NITTTR), Chandigarh from 25th Nove 2024 to 29th Nov 2024.
  3. “DATA SCIENCE AND MACHINE LEARNING APPLICATIONS FOR ENGINEERING AND SCIENCES” FDP organized by Shri Vishnu Engineering College for Women, Bhimavaram from 21st Oct 2024 to 27th Oct 2024.
  4. “POWER OF VISUALIZATION IN ANALYTICS” FDP organized by Department of IT,CSE,CSE(AIML), BVRIT HYDERABAD College of Engineering for Women during 16th Aug to 21st Aug 2023.
  5. “UNLOCKING SUCCESS: STRATEGIES FOR CRAFTING VARIOUS RESEARCH PROPOSALS AND PATENT WRITING” seminar organized by VIT-AP University on 29th July,2023.
  6. “UNLEASHING EMERGING RESEARCH TRENDS AND ADVANCEMENTS IN COMPUTER SCIENCE 2.0” FDP organized by School of Computer Science and Engineering, VIT-AP University, Amaravati from 24th July to 28th July 2023.
  7. “RESEARCH METHODOLOGY ON MACHINE LEARNING AND DATA SCIENCE” FDP organized by Department of CSE(DS) , CSE (AIML) and AI&DS, B V Raju Institute of Technology, Narsapur from 10th July,2023 to 14th July 2023.
  8. “RECENT TRENDS AND ADVANCEMENT IN COMPUTER SCIENCE” FDP organized by Vidya Jyothi Institute of Technology, Hyderabad, from 22nd to 28th July,2020.
  9. “DATA SCIENCE AND ANALYTICS” FDP organized by Anurag University, Hyderabad from 7th to 11th July,2020.
  10. “SKILL DEVELOPMENT FOR EFFECTIVE RESEARCH AND TEACHING – LEARNING PROCESS” FDP organized by ANITS, Vishakapatnam from 8th to 12th June, 2020.
  11. “ADVANCE ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING”FDP organized by Vidya Jyothi Institute if Technology, Hyderabad from 8th to 11th June, 2020.
  12. “ADVANCEMENT IN TECHNOLOGIES A RESEARCH PERSPECTIVE” FDP organized by Anurag University from 26th to 30th May, 2020.
  13. “ONLINE FACULTY AWARENESS PROGRAM ON RESEARCH METHODOLOGY” FDP organized by Shri Chhatrapati Shivajiraje College of Engineering from 20th to 25th May, 2020.
  14. “FACULTY PROGRAM ON NBA” organized by Bharathi Vidyapeeth College of Mumbai, on 13th May, 2020.
  15. “FUNDAMENTALS OF WRITING A RESEARCH PAPER” FDP organized by St Ann’s Degree and PG College on 6th May , 2020.
  16. “WOMEN IN DATA SCIENCE” conference organized by WIDS Hyderabad at Amazon Development center, Hyderabad on 15th February 2020.
  17. “ARTIFICAL NEURAL NETWORK AND DEEP LEARNING” Organized by JNTUH, Hyderabad – AICTE sponsored from 4 – 8 November 2019.
  18. “GOOGLE CLOUD CAREER READINESS” Faculty Event workshop Organized by Google in Bangalore on September 27, 2019.
  19. “MACHINE LEARNING FOR INDUSTRIAL APPLICATIONS” Organized bySmart Bridge in collaboration with CYIENT & IBM at CYIENT Ltd from 11 – 15 June 2018.
  20. “PEDAGOGY FOR ONLINE AND BLENDED TEACHING – LEARNING PROCESS” Conducted by Indian Institute of Technology Bombay (IITB) AICTE approved (FDP201X) from May 3, 2018 to May 30, 2018.
  21. “FOUNDATION PROGRAM IN ICT FOR EDUCATION” Conducted by Indian Institute of Technology Bombay(IITB) AICTE approved (FDP101X) from March 8, 2018 to April 12, 2018.
  22. “BUILDING TEACHER EFFECTIVENESS” at Hyderabad conducted by TASK on 14 & 15 December 2017.
  23. “INTERNET OF THINGS” Organized by the E & ICT Academy, National Institute of Technology, Warangal at BITS from 20 – 25 November 2017.
  1. Salesforce Certified AI Associate – April 2025
  2. Salesforce Certified Administrator (ADX-201) – May 2022
  3. Salesforce Certified Platform Developer I (DEX – 450) – Feb 2022.
  4. Salesforce Certified Platform App Builder (DEX – 403) – Oct 2021.
  5. Google Data Analytics – Coursera – June 2021.
  6. Architecting with GoogleCompute Enginecompleted the online, non-credit Specialization course in collaboration with Google Cloud and Coursera – Oct 2019.
  7. QLIK certified for Qlik Sense Business Analyst Qualification February release 2019 – June 2019.
  8. GNIIT For Engineers – Enterprise Application Development – NIIT – April 2019.
  9. MTA: Database Fundamentals – Microsoft – Sept 2018.
  10. MTA: HTML5 Application Development Fundamentals – Microsoft – July 2018.
  11.  

Placement Coordinator