Dr. Vikram Kulkarni - MPSTME
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Dr. Vikram Kulkarni

Associate Professor (AL-13A)

SM Handles:

 

Research Areas

  • Artificial Intelligence & Machine Learning
  • Smart Grid & Energy Forecasting
  • Healthcare & Speech Analytics
  • Cybersecurity & Anomaly Detection
  • Wireless Sensor Networks & IoT

Education

  • Ph.D. (Smart Grid – WSN) – Vellore Institute of Technology, Vellore (Jan-2019)
  • M.Tech (Embedded Systems) – JNTU, Hyderabad.
  • B.Tech  – JNTU, Hyderabad.

PhD Supervisor:

Currently guiding 3 research scholars,

  1. M. Ravinder (2020), Research Area: Advanced Anomaly Detection in Smart Grid using Machine Learning Techniques. (Research topic approved).
  2. Raminder Kaur (2020), Research area: Assessment of Psychology based speech analysis. (Research topic approved).
  3. M. Shanker, (2025), Full-time research scholar- Intelligent Comprehending Frameworks for Reliable Solar Energy Forecasting

Editorial & Leadership

  • Guest Editor – Frontiers in Energy Research
  • Guest Editor – Frontiers in Artificial Intelligence
  • Associate Editor – Frontiers in Psychiatry
  • Organizer – 7 Special Sessions in IEEE International Conferences

Invited Talks & FDPs

  • Delivered 15+ FDPs/Webinars
  • Speaker at CPRI (Govt. of India)

Professional Memberships

  • IEEE Senior Member
  • ACM Member

Awards

  •  Most Influential Professor – Dewang Mehta Awards (2024)
  •  Top Reviewer – IEEE IBSSC (2022)

 

 Journal Publications:

  1. Kulkarni, V., & Shanker, M., “Residual-enhanced hybrid deep learning framework for day-ahead PV power forecasting with cross-site generalization,” Next Energy, vol. 11, p. 100601, 2026.
    DOI: https://doi.org/10.1016/j.nxener.2026.100601
  2. Nemade, B., Mahadik, S., Babu, V., Kumar, M. A., Kulkarni, V., & Bhadade, U., “Adaptive Dyslexia Reading Intervention System Using Hybrid Readability Modeling, Error Classification, and Reinforcement Learning,” International Journal of Special Education, vol. 41, no. 1, pp. 130–140, 2026.
  3. Kulkarni, V., & Nagra, R. K., “A Deep Knowledge-Infused Adaptive Hybrid Network for Speech-Based Depression and Severity Detection,” Journal of Advances in Information Technology, vol. 17, no. 1, pp. 171–189, Jan. 2026. DOI: https://doi.org/10.12720/jait.17.1.171-189
  4. Raminder Kaur, Vikram Kulkarni, “PSAAP: Patient-Specific Audio Extraction Pipeline for Depression-Oriented Vocal Biomarker Analysis” International Research Journal of Multidisciplinary Technovation Vol. 7,  Issue 5, PP 49-68, 2025. https://doi.org/10.54392/irjmt2554.
  5. Kulkarni, V., & Nagra, R. K., “An Adaptive Multi-Scale Feature Fusion Framework for Detecting Depression and Assessing Its Severity from Speech Signals,” Journal of Advances in Information Technology, vol. 16, no. 12, pp. 1836–1854, Dec. 2025. DOI: https://doi.org/10.12720/jait.16.12.1836-1854
  6. Nemade, B., Kulkarni, V., Shah, D., Patel, K., Patel, S., & Goradiya, U. B., “An adaptive transformer-based framework for advanced brain activity mapping and intelligent neurotherapeutic decision support,” Frontiers in Human Neuroscience, vol. 19, p. 1551168, 2025. DOI: https://doi.org/10.3389/fnhum.2025.1551168
  7. Kulkarni, V., Sahoo, S. K., Nemade, B., Kallam, S., & Termritthikun, C., “Editorial: Exploring the power of AI and ML in smart grids: advancements, applications, and challenges,” Frontiers in Artificial Intelligence, vol. 8, p. 1615547, 2025. DOI: https://doi.org/10.3389/frai.2025.1615547
  8. Ravinder, M., Kulkarni, V. Smart Grid Anomaly Detection Using MFDA and Dilated GRU-based Neural Networks. Smart Grids and Energy 10, 9 (2025). https://doi.org/10.1007/s40866-024-00216-2
  9. Nemade, B., Maharana, K.K., Kulkarni Vikram. et al. “IoT-based automated system for water-related disease prediction.”  Scientific Reports, Springer, 14, 29483 (2024). https://doi.org/10.1038/s41598-024-79989-6.
  10. Bhushan N, Kishore Kumar, Vikram Kulkarni*, SV Kumar, S.Palhar, Revolutionizing Smart Grid Security: A Holistic Cyber Defence Strategy, Frontiers in Artificial Intelligence, Nov-2024 https://doi.org/10.3389/frai.2024.1476422
  11. Vikram Kulkarni, Nemade B, Patel S, Patel K, and Velpula S (2024). “A short report on ADHD detection using convolutional neural networks,” Frontiers in Psychiatry, 15:1426155. Link: https://doi.org/10.3389/fpsyt.2024.1426155
  12. Ravinder, Vikram Kulkarni, Robust and Efficient Hybrid Autoencoder-Adam (HAA) Algorithm for Analyzing Anomalies in Indian Electricity Consumption Data, IJGEI-166040,  International Journal of Global Energy Issues, Inderscience Publishers, Aug-2025, https://dx.doi.org/10.1504/IJGEI.2025.147225
  13.   Sahoo SK, Yanine FF, Kulkarni Vikram and Kalam A (2023), Editorial: Recent advances in renewable energy automation and energy forecasting. Frontiers in Energy Research.11:1195418. https://doi.org/10.3389/fenrg.2023.1195418
  14. Ravinder, Vikram Kulkarni, “Intrusion Detection in Smart Meters Data using Machine Learning Algorithms: A Research Report”, Frontiers in Energy Research, Vol 11, Feb-2023. https://doi.org/10.3389/fenrg.2023.1147431
  15. Gundugonti Kishore Kumar, Mahammad Firose Shaik,  and  Vikram Kulkarni, “Power and Delay Efficient Haar Wavelet Transform for Image Processing Application”, Journal of Circuits, Systems and Computers, WOS publishers Vol. 31. No. 8. (2022), Pg. No 2220001-2220013, Dec-2021, https://doi.org/10.1142/S0218126622200018
  16. Vikram Kulkarni, Sarat Kumar Sahoo, Sudhakar Babu, “Power Systems Automation, Communication, and Information Technologies for Smart Grid: An Technical Aspects Review”, TELKOMNIKA (Telecommunication, Computing, Electronics and Control), Vol. 19, No.3, Pg No. 1017-1029, June 2021. https://telkomnika.uad.ac.id/index.php/TELKOMNIKA/article/viewFile/16428/10291
  17. Vikram Kulkarni et al. “Detecting the Phishing Attack Using Collaborative Approach and Secure Login through Dynamic Virtual Passwords” Volume 17, Number 2, Pg.No. 524-535, Dec-2020. Webology Journal. https://doi.org/10.14704/WEB/V17I2/WEB17049
  18. K, Sarat Kumar Sahoo, K. V. L. Narayana, “A Survey on Interference Avoiding Methods for Wireless Sensor Networks working in the 2.4GHz Frequency Band”, Vol. 13, Number 3, Pg No: 59 – 81, Journal of Engineering Science and Technology Review, July-2020, doi:10.25103/jestr.133.08, https://www.jestr.org/downloads/Volume13Issue3/fulltext81332020.pdf
  19. K, Sarat Kumar Sahoo, “Load Aware Channel Estimation and Channel Scheduling for 2.4GHz Frequency Band Wireless Networks for Smart Grid Applications“, Volume 10, Number 4, Pg. No: 879-902, DEC-2017. International Journal on Smart Sensing and Intelligent Systems. Publisher: Massey University, New Zealand.
  20. K, Sarat Kumar Sahoo, “A Collaborative Frame Work for Avoiding the Interference in 2.4GHz Frequency Band Smart Grid Applications” Vol. No. 22, No.1, Pg. No: 48-56, June-2018. Electronics Journal. Publisher: Faculty of Electrical Engineering Banja Luka, Bosnia and Herzegovina, Europe.

Books Published:

  1. Ketan Shah, Ashwini Rao, Vikram Kulkarni, Pintu Shah, “Innovative Solutions: Practical IT and Cyber Projects for a Secure Digital Future”, 2024, ISBN: 978-93-91044-61-9, Imperial Publications, Maharashtra, India.
  2. Sarat Kumar Sahoo, Franco Fernando Yanine, Vikram Kulkarni and Akhtar Kalam, “Recent Advances in Renewable Energy Automation and Energy Forecasting”, Published in Frontiers in Energy Research, 2022, ISBN 978-2-8325-2529-6, DOI 10.3389/978-2-8325-2529-6
  3. Vikram Kulkarni, “Coexisting problems for wireless sensor networks working in 2.4 GHz frequency band.” ISBN: 9783346075338, Dec-19, GRIN Publishers, Munich, Germany.
  4. K, K. L. N. Rao, “Bio-Metrics Recognition- Based on IRIS Segmentation”, Dec-2019, ISBN-978-620-0-47685-2, LAP Lambert Academic Publishing, Mauritius.

 

Book Chapters :

  1. Book Chapter – Vikram Kulkarni, Sarat Kumar Sahoo, Ketan Shah ” Integrating Electric Vehicles Into Smart Grids Through Data Analytics: Challenges and Opportunities“, in Electric Vehicles Design, Simulation and Applications, Edited by Krishna Arora, Suman Latha Tripati and H.Sharma Publisher: Wiley Publishers, April 2024. https://doi.org/10.1002/9781394205097.ch8
  2. Book Chapter(Springer conference), Vikram.K, Sarat Kumar Sahoo, “Interference-Aware Adaptive Transmission Power Control for ZigBee Wireless Networks” Vol. 828, Pg. No: 56-69, June-2018, Communications in Computer and Information Science, Springer. (Scopus Indexed). Indexing: SCOPUS, Publisher:
  3. Book Chapter – Vikram.K, Sarat Kumar Sahoo, “Energy Management System in Smart Grid“, Smart Grid Systems-Modelling and Control. March 2018. eBook ISBN: 9781315111124, DOI: https://doi.org/10.1201/9781315111124 Publisher: CRC Press, Taylor and Francis group.
  4. Book Chapter – Vikram.K, Sarat Kumar Sahoo, “Swarm Intelligence Techniques for Optimizing Problems” Advances in Swarm Intelligence for Optimizing Problems in Computer Science, ISBN: 9780429445927 , DOI: 10.1201/9780429445927. SEP- 2018. Publisher: CRC Press, Taylor and Francis group.
  5. Book Chapter, Vikram.K, Rejo Mathew, “IoT: a step towards Sustainability”, in Trends in Disruptive Technology Management for Sustainable Development, CRC press, Taylor and Francis group, ISBN 9780367249649, OCT-2019.
  6. Book Chapter, Vikram.K, Rejo Mathew, “Cloud Based IoT Architecture for Green Buildings”, in Edited volume of Industrial Internet of Things and Cyber-Physical Systems: Transforming the Conventional to Digital, IGI Publishers, ISBN13: 9781522597544, Pg No 61-75, chapter DOI: 10.4018/978-1-7998-2803-7.ch004, and Book DOI: 10.4018/978-1-7998-2803-7, 30-June-2020. (Scopus Indexed).
  7. Book Chapter, Vikram. K, Sarat Kumar Sahoo, Rejo.M, “Application of IoT for Microgrid”, in Micro Grid Technologies, Edited by C. Sharmeela, P. Sivaraman, P. Sanjeevikumar, Jens Bo Holm-Nielsen. Scrivener Publishing, Wiley. Pg.No. 403-421, ISBN: 9781119710790. DEC-2020. (Scopus Indexed). http://www.scrivenerpublishing.com/cart/title.php?id=589#desc

Magazine articles:

  1. K, Sarat Kumar Sahoo, “Role of smart meters in Smart Grid“, June 2017. Publisher: Electrical India, Monthly Magazine.

International Conferences  Presented/Published:

  1. Shanker and V. Kulkarni, “Optimized Hybrid CNN-Transformer-LSTM Architecture for Accurate Solar Irradiance Forecasting,” 2025 11th International Conference on Power Systems (ICPS), Hyderabad, India, 2025, pp. 1-6, https://ieeexplore.ieee.org/abstract/document/11364675
  2.  Priyam, V. Kulkarni, and C. H. S. Kumar, “A short survey on wavy fins applicable for air cooled engines,” AIP Conference Proceedings, vol. 3342, no. 020002, pp. 1–8, 2025, doi: 10.1063/5.0296638.
  3.  Kriti Srivastava, Sayali Gaikwad, Durva Shelke, and Vikram Kulkarni, “A Hybrid Approach to Intrusion Detection: Autoencoders and Decision Trees for Cybersecurity,” Proceedings of the 2025 3rd International Conference on Communication, Security and Artificial Intelligence (CSAI 2025), Galgotias University, Greater Noida, Uttar Pradesh, India, April 4–6, 2025. https://doi.org/10.1109/ICCSAI64074.2025.11064045
  4. R. Reddy, K. Sudheer, V. A. Kumar, S. K. Masthan, V. Kulkarni and T. Ravikumar, “Enhancing Power Quality in Solar-Integrated Smart Grids for EV Systems Through Smart Controller,” 2025 3rd IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA), Bhubaneswar, India, 2025, pp. 1-6, https://doi.org/10.1109/ICIDeA64800.2025.10963332
  5. Shanker, V. Kulkarni, A. Rao and S. K. Sahoo, “Transfer Learning for Solar Energy Forecasting: A Comparative Study of BGRU and T-BGRU Models,” 2025 International Conference on Sustainable Energy Technologies and Computational Intelligence (SETCOM), Gandhinagar, India, 2025, pp. 1-6, https://doi.org/10.1109/SETCOM64758.2025.10932352
  6. Atharva Waingankar, Devansh Trivedi, Sharvil Gangan, Vikram Kulkarni, “Comparative Analysis of Solar Energy Generation Techniques in Maharashtra Using Deep Learning Approaches,” 2025 IEEE International Conference on Sustainable Energy Technologies and Computing Methods (SETCOM), held on February 21-23, 2025, at PDEU, Gandhinagar, Gujarat, India. https://doi.org/10.1109/SETCOM64758.2025.10932439
  7. Vora, R. Sinha, J. Palan and V. Kulkarni, “Machine Learning-based Intrusion Detection System for IoT using Contiki-OS,” 2024 3rd International Conference on Automation, Computing and Renewable Systems (ICACRS), Pudukkottai, India, 2025, pp. 542-548, doi: https://doi.org/10.1109/ICACRS62842.2024.10841743
  8. Jash Kanani, Param Makwana, Yash Kalbhor, Vikram Kulkarni, “Progressive Round Robin CPU Scheduling Algorithm for Operating Systems,” presented at the 2024 5th Global Conference for Advancement in Technology (GCAT), Nagarjuna College of Engineering and Technology, Bangalore, India, October 4–6, 2024. https://doi.org/10.1109/GCAT62922.2024.10923888
  9. Ravinder (Research Scholar) , Vikram Kulkarni, Ketan Shah, Pintu Shah, Ashwini Rao, Advancing Smart Grid Analytics: Enhanced Anomaly Detection through Isolation Forest for Optimized Energy Management, I ICICS3-2024 International Conference on “Integrated Circuits, Communication, and Computing Systems” which will be held on 8-9 June, 2024 at IIIT-UNA, Himachal Pradesh. pp. 1-6, https://doi.org/10.1109/ICIC3S61846.2024.10602838
  10. Ravinder (Research Scholar) , Vikram Kulkarni, Optimizing Household Energy Consumption Prediction with Recursive Feature Elimination and LSTM-Keras, IEEE International Conference on Smart Power Control and Renewable Energy 2024” from 19th to 21st July 2024 at NIT Rourkela, Odisha, India. https://doi.org/10.1109/ICSPCRE62303.2024.10675266
  11. Ravinder M, Vikram Kulkarni “Enhanced Anomaly Detection in Wind Energy Datasets Superior Performance of LSTM-Based VAE-WGAN over Isolation Forest and One-Class SVM” presented in CCIS, Springer conference at Ramrao Adik Inst. Tech., DY Patil university, Mumbai, on 15-16 June 2024. https://link.springer.com/chapter/10.1007/978-3-031-74701-4_8
  12. Raminder Kaur (Research Scholar), Vikram Kulkarni, A Psychological Distress-based identification of the factors Stress, Anxiety and Depression Using Machine Learning Approach, at 3rd International Conference on Advanced Communication and Intelligent Systems (ICACIS 2024), May 16-17, 2024, Jawaharlal Nehru University, New Delhi, India. (In-press).
  13. Vikram Kulkarni, Bhisaji C Surve, “An overview on the performance validation, Testing Protocols & Standards for Smart Meters” at International conference on Advanced Innovative Research in Engineering and Technology (ICAIRET-2024), 13th to 15th March, 2024, at Mizoram University, A Central University. https://doi.org/10.54216/JCHCI.070102
  14. Ravinder (Research Scholar), Vikram Kulkarni, Performance Analysis of Machine Learning Techniques for Anomaly Detection in Indian Electricity Consumption Data, International Conference on Material Evolutionary Computing and Networks (ICECMSN 2023), which will be held on November 09-10, 2023 at Hindusthan Institute of Technology in Coimbatore, Tamil Nadu, India, Procedia Computer Science-Elsevier. https://doi.org/10.1016/j.procs.2023.12.084
  15. Kulkarni, V., Jain, V., Kumar, A., Patel, F., Chokshi, A. (2023). Elderly People Assistance Based on Advanced Hardware Module and a Mobile App. In: Ranganathan, G., EL Allioui, Y., Piramuthu, S. (eds) Soft Computing for Security Applications. ICSCS 2023. Advances in Intelligent Systems and Computing, vol 1449. Springer, Singapore. https://doi.org/10.1007/978-981-99-3608-3_7
  16. Kulkarni, V. (2023). Blockchain Technology-Based Holiday Exchange Network. In: Ranganathan, G., EL Allioui, Y., Piramuthu, S. (eds) Soft Computing for Security Applications. ICSCS 2023. Advances in Intelligent Systems and Computing, vol 1449. Springer, Singapore. https://doi.org/10.1007/978-981-99-3608-3_10
  17. Ravinder. Vikram Kulkarni, “A Review on Cyber Security and Anomaly Detection Perspectives of Smart Grid” Presented in IEEE-ICSSIT-2023, Francis Xavier Engineering College (Autonomous), Anna University, Jan-2023, https://doi.org/10.1109/ICSSIT55814.2023.10060871
  18. Yashvi Shah, Yashashvi verma, Umang sharma, Aum Sampat, Vikram Kulkarni “Supply Chain for Safe & Timely Distribution of Medicines using Blockchain & Machine Learning” Presented in IEEE-ICSSIT-2023, Francis Xavier Engineering College (Autonomous), Anna University, Jan-2023. https://doi.org/10.1109/ICSSIT55814.2023.10061049
  19. Dhamodhar Reddy, Vikram Kulkarni, “Wind Turbine System based on Fuzzy Logic based MPPT Controller and Boost type Vienna Rectifier”, Presented in IEEE- IITCEE 2023, BNMIT, VTU, Benguluru, Jan-2023. https://doi.org/10.1109/IITCEE57236.2023.10091023
  20. Ravinder(Research Scholar), Vikram Kulkarni, “ESEEA: Enhanced Stable Energy-Efficient Algorithm for Wireless Sensor Network.” Presented in IEEE-IBSSC 2022, NMIMS MPSTME and IEEE Bombay section, Dec-2022. https://doi.org/10.1109/IBSSC56953.2022.10037545
  21. Ravinder (Research Scholar), and V. Kulkarni, “Review on Energy Efficient Wireless Sensor Network Protocols,” 2021 IEEE International Conference on Environment and Electrical Engineering and 2021 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), Bari, Italy, 2021, pp. 1-6, https://doi.org/10.1109/IBSSC56953.2022.10037545
  22. Nagendra Verma, Sarthak Patil, Bhavya Sinha, Vikram Kulkarni, “Object Detection for COVID Rules Response and Crowd Analysis” IEEE i-PACT-2021, NOV-2021, Vellore Institute of Technology, Vellore and University of Malaya. https://doi.org/10.1109/i-PACT52855.2021.9697011
  23. Kulkarni, B. Patanwadia and V. Kulkarni, “A Survey on Machine Learning Techniques for Breast Cancer Diagnosis and Detection,” 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 425-427, https://doi.org/10.1109/ICAC3N53548.2021.9725448
  24. Anklesaria, Z. Desai, V. Kulkarni and H. Balasubramaniam, “A Survey on Machine Learning Algorithms for Detecting Fake Instagram Accounts,” 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 141-144, https://doi.org/10.1109/ICAC3N53548.2021.9725724
  25. Parikh, Y. Sangle, V. Kulkarni and J. Sutaria, “A Review on Machine-Learning Techniques for Estimation of Bitcoin Pricing,” 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 1493-1495, https://doi.org/10.1109/ICAC3N53548.2021.9725763
  26. Tiwari, S. Shah, V. Kulkarni and P. H. Patil, “A Review on Green Computing Implementation Using Efficient Techniques,” 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 1496-1501. https://doi.org/10.1109/ICAC3N53548.2021.9725556
  27. Lokegaonkar, D. Nair and V. Kulkarni, “Enhancement of Cache Memory Performance,” 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 1490-1492, https://doi.org/10.1109/ICAC3N53548.2021.9725639
  28. Singhvi, H. Bhavsar, Y. Shah and V. Kulkarni, “Pipeline Hazards and its Resolutions,” 2021 3rd International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), 2021, pp. 1473-1478, https://doi.org/10.1109/ICAC3N53548.2021.9725538
  29. Chaudhary, Z. Dalwai and Vikram. Kulkarni, “Intelligent Distraction and Drowsiness Detection System for Automobiles,” 2021 International Conference on Intelligent Technologies (CONIT), 2021, pp. 1-4, https://doi.org/10.1109/CONIT51480.2021.9498562
  30. Kulkarni V., Komanapalli V.L.N., Sahoo S.K. (2021) A Review on Requirements for Data Communication and Information Technology Areas for Smart Grid. In: Komanapalli V.L.N., Sivakumaran N., Hampannavar S. (eds) Advances in Automation, Signal Processing, Instrumentation, and Control. Lecture Notes in Electrical Engineering, vol 700. Springer, Singapore. Pg.No 3259-3271, Mar-2021, https://link.springer.com/chapter/10.1007/978-981-15-8221-9_303
  31. K, Sarat Kumar Sahoo, K. Venkata Lakshmi Narayana, “Forward Error Correction based Encoding Technique for Cross-layer Multi Channel MAC protocol”, Vol. 117, Pg. No 847-854, September 2017, Energy Procedia. Indexing: SCOPUS, Web of Science, Publisher: Elsevier. Indexing: SCOPUS Indexed https://doi.org/10.1016/j.egypro.2017.05.202
  32. Vikram and K. V. L. Narayana, “Cross-layer multi-channel MAC protocol for interference mitigation,” 2016 IEEE Annual India Conference (INDICON), Bangalore, India, 2016, pp. 1-6. https://doi.org/10.1109/INDICON.2016.7838904
  33. K, K. Venkata Lakshmi Narayana, “Cross-layer Multi Channel MAC protocol for Wireless Sensor Networks in 2.4-GHz ISM Band”, IEEE conference on, Computing, Analytics and Security Trends (CAST-2016) on DEC 19-21, 2016 at Department of Computer Engineering & Information Technology, College of Engineering, Pune, Maharashtra. https://doi.org/10.1109/CAST.2016.7914986
  34. K, Zigbee Based Intelligent Automated System for Parking Lots, 2nd International Conference on Innovations in Electrical and Electronics Engineering (ICIEEE-2015), held on 21 – 22 August 2015 at Guru Nanak Institutions Technical Campus (GNITC), Ibrahimpatnam, Hyderabad, Telangana State, India.
  35. K, Energy Conservation, Generation, Utilization, Special Issue of ICETETS 2014 – Held on 24-25 February, 2014 at Malla Reddy Institute of Engineering and Technology, Secunderabad– 14, AP, India.

Copyright: 

  • Registration Number: L-106254/2021, Dairy number- 6954/2021-CO/L. Title: Blockchain Defined Network (BDN) based Secure Transaction in IoT Environment, Accepted on 10-08-2021.

 

International Journals Reviewed:

Significant contributions as a reviewer for the following prestigious journals:

  1. IEEE Internet of Things Journal, IF 9.936
  2. Knowledge-Based Systems, Elsevier, IF 7.6
  3. Intelligent Decision Technologies, IOS press, IF 0.8
  4. ACM Transactions on the Web, IF 3.6
  5. IEEE Systems Journal, IF 4.4
  6. IEEE Access, IF 3.9
  7. Softcomputing, Springer, IF 2.5
  8. Wireless Personal Communications, Springer, IF 2.2
  9. Frontiers in Energy Research, IF 2.7
  10. Frontiers in Psychiatry, IF 3.2
  11. Frontiers in Neuroinformatics, IF 2.7
  12. Frontiers in AI, 4.7
  13. JAIT-Journal of Advances in Information Technology – IF 1.0
  14. Journal of Renewable Energy and Smart Grid Technology (RAST).
  15. Journal of Engineering Science and Technology Review
  16. PEER J Computer science IF 1.0

International Conferences Reviewed: 25

FDP/STTP attended: 17

MOOCs Successfully Completed: 14