• Artificial Intelligence

• Internet of Things (IoT)

• Pattern Recognition and Neural Network

•  

  Digital Image Processing

• Wireless Sensor Networks

• Wireless and Mobile Communication

• Data Mining

• IoT

• Optimization Algorithm

• Expert System

• Chandrasekaran, G., Kumar, Neelam Sanjeev., A, C., V, G., Priyadarshi, N., Khan, B.: IoT
  enabled smart solar water heater system using real time ThingSpeak IoT platform. IET Renew.
  Power Generation. 00, 1– 13 (2023). https://doi.org/10.1049/rpg2.12760 [SCI & SCOPUS
  INDEXED][IF= 3.034]

• Chinnaraj, G., Kumarasamy, V., Paramasivan, M. Kumar, Neelam Sanjeev et al. Mathematical
  formulation of multicarrier PWM techniques and design an eleven-level modular multilevel
  inverter to improve power quality. International journal of system assurance engineering and
  management (2023). https://doi.org/10.1007/s13198-023-01926-z[ESCI & SCOPUS
  INDEXED][IF= 2.01]

• Kumarasamy, V., KarumanchettyThottam Ramasamy, Kumar, Neelam Sanjeev V.,
  Chandrasekaran, G. et al. A review of integer order PID and fractional order PID controllers
  using optimization techniques for speed control of brushless DC motor drive. International
  journal of system assurance engineering and management (2023).
  https://doi.org/10.1007/s13198-023-01952-x ESCI & SCOPUS INDEXED][IF= 2.01]

• G. Chandrasekaran, N. S. Kumar, P. R. Karthikeyan, K. Vanchinathan, N. Priyadarshi and B.
  Twala, “Test Scheduling and Test Time Minimization of System-on-Chip Using Modified BAT Algorithm,” in IEEE Access Journal, vol. 10, pp. 126199-126216, 2022, doi:
  10.1109/ACCESS.2022.3224924. [SCI & SCOPUS INDEXED][IF= 3.476]

• Kumar, Neelam Sanjeev, Gokul C, Jayakumar Thangavel, Neeraj Priyadarshi, M. S. Bhaskar,
  Mohamed G. Hussien, Fayez FM El-Sousy, and Mosaad M. Ali. “A Novel Design Methodology and Numerical Simulation of BLDC Motor for Power Loss Reduction.” Applied Sciences 12, no. 20 (2022): 10596. [SCI & SCOPUS INDEXED]. [IF= 2.838]

•  

  Subramaniam, Mahendrakumar, Chunchu Rambabu, Gokul Chandrasekaran, and Neelam
  Sanjeev Kumar, “A Traffic Density-Based Congestion Control Method for VANETs.”
  Wireless Communications and Mobile Computing (2022). [SCI & SCOPUS INDEXED]. [IF=
  2.469]

•  

  Subramaniam, Mahendrakumar, Vanitha Krishnan, Chunchu Rambabu, Gokul Chandrasekaran,
  and Neelam Sanjeev Kumar. “Design of NULLMAC Protocol for Mobile Ad Hoc Network
  Using Adaptive Antenna Array.” Mobile Information Systems 2023 SCOPUS INDEXED 

• Charan, Garudadri Venkata Sree, and Neelam Sanjeev Kumar, “Analysis and Comparison for Innovative Prediction Technique of COVID-19 using Logistic Regression algorithm over
  Support Vector Machine Algorithm with Improved Accuracy.” Journal of Pharmaceutical
  Negative Results (2022): 461-469. [SCI & SCOPUS INDEXED]. [IF= 0.393]

• Pokala, VenkataSai Kumar, and Neelam Sanjeev Kumar, “Analysis and Comparison for
  Prediction of Diabetic among Pregnant Women using Innovative Decision Tree algorithm over
  Support Vector Machine Algorithm with Improved Accuracy.” Journal of Pharmaceutical
  Negative Results (2022): 166-174. [SCI & SCOPUS INDEXED]. [IF= 0.393]

• Neelam Sanjeev Kumar, Anand K. Pandey, S. Padmavathy, M. Sudhakar, S. Praveen Kumar,
  “Investigation of Curing Mechanism and Mechanical Properties of Polypropylene/Aliphatic
  Epoxy Composites”, Advances in Polymer Technology, vol. 2022, Article ID 4167871, 10
  pages, 2022. https://doi.org/10.1155/2022/4167871[Impact Factor 2.502] [SCI & SCOPUS
  INDEXED].

• Gadde, R., & Kumar, N. S. (2022). Analysis and comparison of random forest algorithm for
  prediction of cardiovascular disease over support vector machine algorithm with improved
  precision.Cardiometry,(25),977-82.doi:https://doi.org/10.18137/cardiometry.2022.25.977982

• Neelam Sanjeev Kumar, Chandrasekaran, G., Rajamanickam, K.P. (2021). “An integrated
  system for smart industrial monitoring system in the context of hazards based on the Internet of
  Things”. International Journal of Safety and Security Engineering, Vol. 11, No. 1, pp. 123-127.
  https://doi.org/10.18280/ijsse.110114 [SCOPUS INDEXED], [Impact Factor 1.086]

• Anurag Shrivastava, Ali Rizwan, Neelam Sanjeev Kumar, R. Saravanakumar, Inderjit Singh
  Dhanoa, Pankaj Bhambri, Bhupesh Kumar Singh, “VLSI Implementation of Green Computing Control Unit on Zynq FPGA for Green Communication”, Wireless Communications and Mobile Computing, vol. 2021, Article ID 4655400, 10 pages, 2021. https://doi.org/10.1155/2021/4655400 .[Impact Factor 2.336] [SCI & SCOPUS INDEXED].

• Neelam Sanjeev Kumar and S. Arunkumar2, (2021), “In OFDM Communication System,
  Improved ICI Reduction Method”, Indian Journal of Natural SciencesVol.12 / Issue 67 / August
  / 2021, ISSN: 0976 – 0997. [Web Of Science] [Impact Factor 1.75]

• Neelam Sanjeev Kumar, Chandrasekaran, G., Karthikeyan, P. R., Kumar & Kumarasamy, V.
  (2021). Test scheduling of System-on-Chip using Dragonfly and Ant Lion optimization
  algorithms. Journal of Intelligent & Fuzzy Systems, 1-13. [Impact Factor 2.035] [SCI &
  SCOPUS INDEXED].

• Gadde, Rajvardhan, and Neelam Sanjeev Kumar. “Support Vector Machine Algorithm with Improved Precision vs Logistic Regression Algorithm for Prediction of Cardiovascular
  Disease.” Journal of Survey in Fisheries Sciences 10.1S (2023): 1314-1324. [WOS & SCOPUS INDEXED].

• Neelam Sanjeev Kumar, Chandrasekaran, G., Rajamanickam, K.P. (2021). “IoT Based
  Moisture Control and Temperature Monitoring in Smart Farming”, Journal of Physics:
  Conference Series 1964 (6), 062056, [SCOPUS INDEXED] [Impact Factor 0.58]

• Neelam Sanjeev Kumar, Chandrasekaran, G., Periyasamy, S., Karthikeyan, P. R., Kumar, &
  Kumarasamy, V. (2020). Whale and Grey Wolf Optimization Algorithms for Test Scheduling of
  System-on-Chip. Solid State Technology, 63(5), 3931-3944.[SCOPUS INDEXED IF 0.3

• Pokala, V. S. K., & Kumar, N. S. (2022). Analysis and comparison for prediction of diabetic
  pregnant women using innovative principal component analysis algorithm over support vector
  machine algorithm with improved accuracy. Cardiometry, (25), 942-948.
  doi:https://doi.org/10.18137/cardiometry.2022.25.942948

• Charan, G. V. S., & Neelam Sanjeev Kumar. (2022). Analysis and comparison for innovative
  prediction of COVID-19 using logistic regression algorithm over the decision tree algorithm
  with improved accuracy. Cardiometry, (25), 897-903. doi:https://doi.org/10.18137/cardiometry.2022.25.897903

• Gadde, R., & Neelam Sanjeev Kumar (2022). Analysis and comparison of naive bayes
  algorithm for prediction of cardiovascular disease over support vector machine algorithm with
  improved precision. Cardiometry, (25), 963-969.
  doi:https://doi.org/10.18137/cardiometry.2022.25.963969

• Srinivasulureddy, C., Kumar, N. S., & Binu, V. S. (2022). Analysis and comparison for
  innovative prediction technique of breast cancer tumor by naive bayes algorithm over support
  vector machine algorithm with improved accuracy. Cardiometry, (25), 865-871.
  doi:https://doi.org/10.18137/cardiometry.2022.25.865871

• Srinivasulureddy, C., Kumar, N. S., & Binu, V. S. (2022). Analysis and comparison for
  innovative prediction technique of breast cancer tumor using decision tree algorithm over
  support vector machine algorithm with improved accuracy. Cardiometry, (25), 872-877.
  doi:https://doi.org/10.18137/cardiometry.2022.25.872877

• Charan, G. V. S., & Kumar, N. S. (2022). Analysis and comparison for innovative prediction
  technique of COVID-19 using decision tree algorithm over the support vector machine
  algorithm with improved accuracy. Cardiometry, (25), 891-896.
  doi:https://doi.org/10.18137/cardiometry.2022.25.891896

• Ch, S., & Kumar, N. S. (2022). Analysis and comparison for innovative prediction technique
  of breast cancer tumor by linear discriminant analysis algorithm over support vector machine
  algorithm with improved accuracy. Cardiometry, (25), 885-890.
  doi:https://doi.org/10.18137/cardiometry.2022.25.885890

• Gadde, R., & Neelam Sanjeev Kumar (2022). Analysis and comparison of neural network
  algorithm for prediction of cardiovascular disease over support vector machine algorithm with
  improved precision. Cardiometry, (25), 970-976.
  doi:https://doi.org/10.18137/cardiometry.2022.25.970976

•  

  Charan, G. V. S., & Neelam Sanjeev Kumar (2022). Analysis and comparison for innovative
  prediction technique of COVID-19 using support vector machine over neural network algorithm
  with improved accuracy. Cardiometry, (25), 904-910.
  doi:https://doi.org/10.18137/cardiometry.2022.25.904910

• Pokala, V. S. K., & Kumar, N. S. (2022). Analysis and comparison for prediction of diabetic
  among pregnant women using innovative K-nearest neighbor algorithm over logistic regression
  with improved accuracy. Cardiometry, (25), 949-955.
  doi:https://doi.org/10.18137/cardiometry.2022.25.949955

• Ch, S., & Kumar, N. S. (2022). Analysis and comparison for innovative prediction technique
  of breast cancer tumor using k nearest neighbor algorithm over support vector machine
  algorithm with improved accuracy. Cardiometry, (25), 878-884.
  doi:https://doi.org/10.18137/cardiometry.2022.25.878884

• Pokala, V. S. K., & Kumar, N. S. (2022). Analysis and comparison for prediction of diabetic
  among pregnant women using innovative support vector machine algorithm over random forest
  algorithm with improved accuracy. Cardiometry, (25), 956-962.
  doi:https://doi.org/10.18137/cardiometry.2022.25.956962

• Author and Editor of a book, “Feature Extraction and classification in Context of Machine learning” Published with INSC international Publisher.2022.
• Published a book chapter, “Automated Dam Data Acquisition and Analysis in Real-Time” in Springer’s book “Distributed Computing and Optimization Techniques”, 199-207, 2022. SCOPUS INDEXED.

• Neelam Sanjeev Kumar, et al., “COVID-19 SOP Compliance And Monitoring Electronic System For Business And Public Places Using Arduino Uno,” 2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE),
  Bengaluru, India, 2023, pp. 478-482, doi: 10.1109/IITCEE57236.2023.10090961.

• Neelam Sanjeev Kumar, et al.,”Internet of Things (IoT) Feedback System using Raspberry
  Pi,” 2023 7th International Conference on Computing Methodologies and Communication
  (ICCMC), Erode, India, 2023, pp. 1399-1404, doi: 10.1109/ICCMC56507.2023.10083989.

• Neelam Sanjeev Kumar, et al., “Smart Authentication using Human Ear,” 2023 2nd
  International Conference for Innovation in Technology (INOCON), Bangalore, India, 2023, pp.
  1-6, doi: 10.1109/INOCON57975.2023.10100984.

• Neelam Sanjeev Kumar, et al., “IoT based Energy Efficient Smart Metering System,” 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2023, pp. 607-612, doi: 10.1109/ICEARS56392.2023.10085037.

• Neelam Sanjeev Kumar, et al., “Medical Image Classification using Deep Learning
  Techniques: A Review,” 2023 Second International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, 2023, pp. 1327-1332, doi:
  10.1109/ICEARS56392.2023.10084948.

•  

  Neelam Sanjeev Kumar, et al.,, “Safe Transportation System using IoT based Alcohol
  Detection,” 2023 7th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2023, pp. 1521-1526, doi: 10.1109/ICICCS56967.2023.10142338.

• Neelam Sanjeev Kumar, G. Chandrasekaran, N. Priyadarshi, T. Mahajan and N. Kumar, ” The Coronavirus Pandemic and the Transformation of Telehealth in the Context of Artificial
  Intelligence,” 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Bangalore, India, 2022, pp. 1-6, doi:
  10.1109/SMARTGENCON56628.2022.10084288.

• Neelam Sanjeev Kumar, et al., “Review of Power Quality Issues in Smart Grid,” 2023 7th International Conference on Computing Methodologies and Communication (ICCMC), Erode,
  India, 2023, pp. 32-38, doi: 10.1109/ICCMC56507.2023.10083904.

• M. Deivakani, C. Singh, J. R. Bhadane, G. Ramachandran and Neelam Sanjeev Kumar, ” ANN Algorithm based Smart Agriculture Cultivation for Helping the Farmers,” 2021 2nd
  International Conference on Smart Electronics and Communication (ICOSEC), 2021, pp. 1-6,
  doi: 10.1109/ICOSEC51865.2021.9591713.IEEE Xplore.

• Neelam Sanjeev Kumar, Gokul Chandrasekaran, Karthikeyan P R,(2021), “Automated Dam
  Data Acquisition and Alarm Reporting System in Real-time”. 7th International e-Conference
  on Green Technologies for Power Generation, Communication and Healthcare, ICGPC 2021–
  June 2021. ISBN NO 9789352549795.

• S. Ranjan, Neelam Sanjeev Kumar, et al., “Atmospheric Monitoring and Fire Prevention
  Electronic System for Mining Workers,” 2022 IEEE 9th Uttar Pradesh Section International
  Conference on Electrical, Electronics and Computer Engineering (UPCON), Prayagraj, India,
  2022, pp. 1-5, doi: 10.1109/UPCON56432.2022.9986449.

• Neelam Sanjeev Kumar, et al., “Fruit Disease and Freshness Identification By Image
  Processing Method Using Raspberry Pi,” 2022 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON), Bangalore, India, 2022, pp. 1-5, doi: 10.1109/SMARTGENCON56628.2022.10083880.

Work in Progress :

• ‘Predicting and Analysis of the economic effects of renewable energy on local areas using machine learning. And Combining Renewable Energy Sources with Electric Vehicles Using Machine Learning
  Techniques’ – In collaboration with faculty from other University.

• Assistant Professor (S.G.) – SRM Institute of Science and Technology, Vadapalani Campus,
  Chennai, July 2023 – Onwards

• Assistant Professor (S.G.) – Saveetha School of Engineering. (Jan 2021- April 2023).

•  

  Assistant Professor – Kodaikanal institute of technology, Kodaikanal from (July 2008 to May 2011)

• Participated and presented a paper titled ” Computational Analysis of Cardiac Arrhythmias in Human Purkinje Fibre Cells of Potassium, Calcium, and Sodium Concentration Effects in
  Generation of Action Potential using Euler Integration Method” to International IEEE
  Conference on Bio-Neuro Informatics and Algorithms (ICBNA 2022), virtually at the Symbiosis
  International (Deemed University), India campus on June 21-22, 2022.

• Participated in Conference on Sustainable Environment in Conjunction with World Environment
  Day 2021 held on 5 June 2021 (Saturday), Organized by the Department of Biotechnology,
  Faculty of Applied Sciences,  AIMST University,  08100 Semeling, Kedah Darul Aman,
  Malaysia.

• Participated and presented a paper at ICO at the 2021 IEEE Conference, which was held in 2021
  at Kongunadu College of Engineering and Technology, Tamil Nadu, India.

• Participated and presented a paper in Healthcare – ICGPC’21 organized by Peter’s Institute of
  Higher Education & Research, on 6th, June 2021.

• International conference participated on 4th JUNE 2021″Signal, Biomedical and Industrial
  Applications Based on Deep Learning organized by the AVIT, Chennai, Tamil Nadu, India

• Participated and presented a paper at the 8th IEEE International Conference on Communication
  and Signal Processing at Adhiparasakthi Engineering College, Tamil Nadu, Apr’2019

• Participated in Two days Seminar on IoT Enabled Healthcare Technologies for India, at KCG
  College of Technology, Chennai, Nov’2017 sponsored by ICMR.

• Participated in Springer Nature Author workshop at CEG Anna University, Chennai, Feb’2017.

• Participated and presented a paper at National Conference on renewal Energy and Technology at
  Dr. MGR Educational and Research Institute, Chennai, Apr 2015 sponsored by IEEE.

• Participated in the International Seminar on “The State Art of Neurodynamic Optimization,
  Dec’2015 at Dr. MGR Educational and Research Institute, Chennai sponsored by IEEE.

• Participated in the Seminar on Latest Trends in Instrumentation on 1st Nov’2006.

• Active Member of Organizer committee of national level conference VISION 2016, CEG, Anna
  University, Chennai-25.

• Title: Digital Image processing technique
  Period: 05.12.2021 to 09.12.2021
  Organizer: Sreenivasa Institute of Technology and Management Studies Chitoor. AP
• Title: Neuromorphic computing in AI
  Period: 24.12.2021 to 31.12.2021
  Organizer: KPR Institute of Engineering and Technology, Coimbatore
• Title: Research in English Language Teaching
  Period: 15.06.2020 to 22.06.2020
  Organizer: GITAM School of Humanities and Social Sciences GITAM (Deemed to be University) Hyderabad
• Title: Internet of Medical Things Enabling technologies in healthcare.
  Period: 03.08.2020 to 08.03.2020
  Organizer: Chennai Institute of Technology, AICTE sponsored 6 days STTP.
• Title: Technological Solution of Covid and Post Covid challenges in Society
  Period: 08.06.2020 to 12.06.2020
  Organizer: BHARAT Institute of engineering and technology, affiliated with JNTU.
• Title: FDP on cutting-edge technological development in information and communication engineering
  Period: 22.06.2020 to 26.06.2020
  Organizer: BHARAT Institute of engineering and technology, affiliated with JNTU.
• Title: FDP on Emerging trends in ethical hacking and cyber security
  Period 06.07.2020 to 10.07.2020
  Organizer: Hindustan Institute of technologyCoimbatore-32.
• Title: Five Days National Level Webinar on Live Training in “CLOUD COMPUTING AND DATA
  ANALYTICS
  Period: 21.07.2020 to 25.07.2020
  Organizer: Jayaraj Annapackiam Csi College Of Engineering, Margoschis Nagar, Nazareth – 628617
• Title: Three-Day International Webinar On “Research Applications in Artificial Intelligence, Data
  Science and Emerging Technologies”
  Period: 17 to 19th July, 2020
  Organizer: Bharat Institute of Engineering and Technology, Ibrahimpatnam, Hyderabad-501510
• Title: Faculty Development Programme on Antenna Trends
  Period: 01.07.2019 to 05.07.2019
  Organizer: CEG Anna University, Chennai by the Ministry of Electronics and Information Technology, Govt. of India. July 2019
• Title: Workshop on Analog Discovery kit
  Period: 03.05.2019
  Organizer: CEG Anna University, Chennai
• Title: Springer Nature Author workshop
  Period: 27.02.2017
  Organizer: CEG Anna University, Chennai
• Title: Routledge Editorial workshop
  Period: 03.08.2016
  Organizer: CEG Anna University, Chennai, sponsored by Taylor & Francis India.
• Title: FDP on Excellence in Education and Teaching
  Period: 25 .01.2016
  Organizer: Dr. MGR Educational and Research Institute, Chennai,
• Title: Workshop on RFID
  Period: 25.08.2014
  Organizer: at Dr. MGR Educational and Research Institute, Chennai, sponsored by IET
• Title: Workshop on IPR
  Period: 08.07.2015
  Organizer: Dr. MGR Educational and Research Institute, Chennai, sponsored by the Ministry of
  Electronics and Information Technology, Govt. of India.
• Title: Communication in SIEMENS education day
  Period: 24 .04.2015
  Organizer: Siemens and Vi Microsystem, Chennai
• Title: FDP on Analog IC design Using Cadence and Intelligence MEMS Solutions
  Period: 29.06.2017 to 30.06.2017
  Organizer: KCG College of Technology, Chennai
• Title: FDP on Substation designing and its Protection
  Period: 18.06.2015 to 19.06.2015
  Organizer: at Dr. MGR Educational and Research Institute, Chennai, sponsored by IEEE.
• Title: NI LabVIEW Hands-on training and certification
  Period: 24-27 Feb 2012 and 05-06 March 2012.
  Organizer: Dr. MGR Educational and Research Institute, Chennai, associated with National Instruments
• Title: LabVIEW Hands on training and certification
  Period: 26.03.2011 to 30.03.2011
  Organizer: Dr. MGR Educational and Research Institute, Chennai, associated with National Instruments

• All India ranks 254 in GATE 2007

• M. Tech. (2011-2013 batch) University Rank 1, Gold Medalist

• IEEE Professional Member: ID 98921794
• IAENG Life Member: ID 282224

• Journal of ambient intelligence & humanized computing, Springer
• International Journal of System Assurance Engineering and Management, Springer
• Journal of Big Data, Springer
• Current Journal of Applied Science and Technology
• Soft Computing.