News Update:
Dr. Anitha A
Dr. Anitha A

Associate Professor

anithaa@niuniv.com

Education
  • Ph.D - Computer Science, Noorul Islam Centre for Higher Education (2016)
  • M.E - CSE, Sivanthi Adithanar College of Engineering (2008)
  • B.E - CSE, Noorul Islam College of Engineering (2004)

Experience
  • Associate Professor, Noorul Islam Centre for Higher Education (2019-04-01 - Present)
  • Assistant Professor, Noorul Islam Centre for Higher Education (2010-09-01 - 2019-04-15)
  • Associate Professor, NICHE (2008-02-19 - Present)

Journal Publications
  • An Oral Healthcare Recommendation Framework Using Lion Inspired Feature Optimization and SVM Classification by Anne G S Sheaba, A. Anitha, Journal of Machine and Computing (2025)
  • A comparative analysis: optimal node selection in large data block transmission in VANET using various node relay optimization algorithms by Anuranj, Anitha A, Automatika (2023)
  • Energy Efficient Large-Size Data Block Transmission in VANETs using SD-Kmeans and Th-ANFIS by Anuranj, Anitha A , SSRG International Journal of Electronics and Communication Engineering (2023)
  • Analysing Texture, Color and Spatial Features for Face Spoof Detection with Hybrid Classification Model by Neenu Daniel, A. Anitha, Multimedia Tools and Applications (2023)
  • A Novel Human Activity Recognition Model for Smartphone Authentication by VII. Vinod P R, Anitha , Wireless Personal Communications (2023)
  • Sybil attack detection and secure data transmission in VANET using CMEHA DNN and MD5 ECC by Nitha C.Velayudhan, A.Anitha, MukeshMadanan, Journal of Ambient Intelligence and Humanized Computing (2023)
  • Clustering based lung lobe segmentation and optimization based lung cancer classification using CT images by Ajni K Ajai, A. Anitha, Biomedical Signal Processing and Control (2022)
  • Deep Radial Recurrent Feedforward Neural Nets (DRRFNN): A Stacked L2L Learning Model for Lung Cancer Patients' Data by Ajni K Ajai, A. Anitha, International Journal of Engineering Trends and Technology (2022)
  • Sybil Attack with RSU Detection and Location Privacy in Urban VANETs- an Efficient EPORP Technique by Nitha C.Velayudhan, A.Anitha, MukeshMadanan, Wireless Personal Communications (2022)
  • A Survey on Artificial Intelligence in Cancer Medical and Nonmedical Datasets by Ajni K Ajai, A. Anitha, International Journal of Engineering Trends and Technology (2021)
  • EHMO-Based Deep ResNet for Survival Timeline Prediction of Adenocarcinoma Cancer by Malayil Shanid, A. Anitha, Critical Reviews in Biomedical Engineering (2021)
  • EHMO-Based Deep ResNet for Survival Timeline Prediction of Adenocarcinoma Cancer by V. Malayil Shanid, A. Anitha, Critical Reviews in Biomedical Engineering (2021)
  • Adaptive optimisation driven deep belief networks for lung cancer detection and severity level classification by Malayil Shanid, A. Anitha, International Journal of Bio-Inspired Computation (2021)
  • Comparative Study on Classification Algorithms for Disease Prediction by A. Anisha, C. Renit, A. Anitha, International Journal of Scientific Research in Science and Technology (2021)
  • An exhaustive study on the lung cancer risk models” Int. J. Bioinformatics Research and Applications by Malayil Shanid, A. Anitha, Bioinformatics Research and Applications (2020)
  • A Report on Behavior-Based Implicit Continuous Biometric Authentication for Smart Phone by Vinod P. R, Anitha A., and Usha Gopalakrishnan, Advances in Intelligent Systems and Computing (2020)
  • Sybil Attack in VANET operating in an Urban Environment: An Overview by V. Nitha C Velayudhan , A. Anitha, Advances in Communication Systems and Networks, Lecture Notes in Electrical Engineering, Springer (2020)
  • Lung Cancer Detection from CT Images using SALP-Elephant Optimization based Deep Learning by Malayil Shanid and Anitha A, Biomedical Engineering: Applications, Basics and Communications (2020)
  • Detection of Face Spoofing using Color Texture and Edge Feature by Neenu Daniel, A. Anitha, International Journal of Recent Technology and Engineering (IJRTE) (2020)
  • Review On Avoiding Sybil Attack in VANET while Operating in an Urban Environment by Nitha C Velayudhan , A.Anitha, Journal of Theoretical and Applied Information Technology (2019)
  • A Novel User Authentication Method Based on Freehand Sketches by P.Sukin, A. Anitha, International Journal of Computer Trends and Technology (IJCTT), Vol. 59, No. 2, May 2018, pp. 94-98. (2018)
  • An Integrated Intrusion Detection System (IIDS) For Multiple Spoofing Attacks by Shiyas K R , A. Anitha , A. Anisha, International Journal of Research in Engineering and Bioscience, Vol. 6, No. 3, 2018, pp. 43- 50. (2018)
  • A Secure Data Aggregation Technique for Wireless Sensor Networks by A.Anitha, K. arthi Krishna andR.R.Eswaran Aasan, International Journal of Control Theory and Applications (2017)
  • A Secure Acknowledgement-Based Adaptable System for MANETs by A.Anitha, R.Suji Pramila and P.Swetha, International Journal of Control Theory and Applications (2017)
  • A Guaranteed Time and Rate Control Method for Improving QoS in WLAN by A.Anitha and J.Jayakumari, American Journal of Applied Sciences (2016)
  • Rate adaptation schemes in WLANs by A. Anitha and J. Jayakumari, International Journal of Enterprise Network Management (2016)
  • Vertical Handoff Scheme in Integrated WIMAX and WLAN Networks by A.Anitha and J.Jayakumari, Advances in Intelligent Systems and Computing, Springer (2015)
  • A Novel Rate Adaptation Scheme for Improving Throughput in WLAN by A.Anitha and J.Jayakumari, International Journal of Applied Engineering Research (2015)
  • Performance Analysis of EDCA Under Light, Heavy, and Variable Data Sources by A.Anitha and J.Jayakumari, Advances in Intelligent Systems and Computing, Springer (2014)
  • Performance Analysis of WLAN under variable number of nodes using the adjustable parameters in EDCA by A.Anitha and J.Jayakumari, Journal of Theoretical and Applied Information Technology (2014)
  • Gait Recognition Based on Deep Learning Using Accelerometer and Gyroscope in Smartphones by VINOD P R, ANITHA A, USHA GOPALAKRISHNAN, Turkish Online Journal of Qualitative Inquiry (TOJQI) (0)

Books Published
  • The Magical Exertion of Convolutional Neural Networks , ISBN: 978-93-5636-162-1, Publisher: Top 5 Technology Trends in World Transforming Data to Knowledge
  • Fundamentals of Computing and Python Programming, ISBN: 1, Publisher: R K Publishers

Patents
  • IOT BASED WEARABLE DEVICE FOR HEART RATE MONITORING, 411761-001, 2024, Government of India - Design - Granted
  • IOT BASED EMBEDDED LOCK MONITORING SYSTEM USINGARDUINO NANO MICROCONTROLLER, 202041039384, 2020, Government of India - Design - Examination

Conferences
  • AI-Powered Threat Detection in IoT Networks, FoCS-2025 (May 2, 2025)
  • The Intelligent Path to Sustainability: Big Data in Green Management, NCGMP'25 (April 15, 2025)
  • Survey on Heart Attack Detection System for Early Diagnosis, ICIET – 2025 (April 3, 2025)
  • Hybrid Cyber Threat Detection Model using Machine Learning, Deep Learning, Blockchain, and Federated Learning for Enhanced Security and Privacy, INTERNATIONAL CONFERENCE ON INNOVATIONS IN ENGINEERING AND TECHNOLOGY (April 3, 2025)
  • AI-Driven Prosthetics: Enhancing Mobility with Intelligent Systems, ICIET – 2025 (April 2, 2025)
  • Detecting Phishing Websites using Machine Learning, ICIET – 2025 (April 2, 2025)
  • Comparative Analysis of Machine Learning and Deep Learning Models for High-Precision Classification in Cyberattack Detection, ICCES-2024 (December 16, 2024)
  • Automatic Speed Limiter for Ordinary Vehicles using RFID Technology and Obstacle Detection, ICECRETE 2024 (April 26, 2024)
  • Image Object Retrival Using Semantic Feature Discovery, ICA5NT 2024 (March 21, 2024)
  • Generalized Face Spoofing Detection Using Spatial Features, ICECA 2023 (November 23, 2023)
  • A Survey on Deep Learning Approach for Identity Recognition Using Finger Vein Biometrics, ICCPCT 2023 (September 22, 2023)
  • Comparative Study on New Era Technologies: Cloud, Fog and Edge Computing, ICNIS-2023 (August 23, 2023)
  • A Review on Finger-Vein-Based Identity Recognition Using Deep Learning Techniques, NCIRAC'23 (April 11, 2023)
  • Driver Drowsiness Monitoring System Using Visual Behaviour and Machine Learning, NCIRAC'23 (April 11, 2023)
  • Medicine Reminder Application, NCIRAC'23 (April 11, 2023)
  • IOT Based Cattle Monitoring System, NCIRAC'23 (April 11, 2023)
  • EFFICIENT ATTENTION-BASED DYNAMIC PATCH FUSION FOR FACE-BASED AGE ESTIMATION, NCIRAC'23 (April 11, 2023)
  • Large Data Block Transmission in VANET, ACCTHPA 2023 (January 20, 2023)
  • Current Advances in Hyperspectral Remote Sensing in Urban Planning, ICICICT-2022 (August 11, 2022)
  • Survey on Skin Cancer Detection, ICA5NT 2022 (April 28, 2022)
  • IOT BASED WATER MANAGEMENT SYSTEM, ICA5NT 2022 (April 28, 2022)
  • HIGH LEVEL TRUST BASED MEDICAL DATA TRANSMISSION IN CLOUD SYSTEM USING LAGRANGE’S KEY, ICA5NT 2022 (April 28, 2022)
  • “LUNG CANCER PREDICTION FRAMEWORK WITH DEEP BELIEF NETWORK BASED ON GENE ENCODING, RIST 2021 (June 19, 2021)
  • Three Factors Based Sybil Attack Detection and RSU Corruption Detection in the VANET Environment, ACCSET'21 (May 26, 2021)
  • A Precise Prognosis Model for Breast Cancer Data by Comparing Supervised Algorithms, Emerging Trends in Industry 4.0 (May 19, 2021)
  • A NOVEL LUNG CANCER DETECTION FRAMEWORK USING FIREFLY OPTIMIZATION BASED ARTIFICIAL NEURAL NETWORK, NCCSE’21 (May 6, 2021)
  • IoT BASED SMART AGRICULTURE SYSTEM, NCCSE’21 (May 6, 2021)
  • BIOMETRIC AUTHENTICATION TECHNIQUES: A REVIEW, NCCSE’21 (May 6, 2021)
  • CONVOLUTIONAL NEURAL NETWORK MODEL ON SKIN CANCER DETECTION AND CLASSIFICATION, NCCSE'21 (May 6, 2021)
  • Comparative Study on Classification Algorithms for Disease Prediction, ICAMCCT-2021 (April 10, 2021)
  • Adequate Design of Breast Cancer Classification using Machine Learning, ICAMCCT-2021 (April 10, 2021)
  • LUNG CANCER DETECTION USING RIDER OPTIMIZATION BASED ARTIFICIAL NEURAL NETWORK, NCASET 2K21 (March 26, 2021)
  • Lung Cancer Detection using Ant Colony Optimization based Artificial Neural Networks, RDEEE-2021` (March 11, 2021)
  • A Report on Behavior Based Implicit Continuous Biometric Authentication for Smart Phone , International conference on Computing in Engineering and Technology (January 9, 2020)

Projects
  • No projects available.

Faculty Development Programs (FDP)
  • Big Data Analytics and Visualization - Six Day Faculty Enrichment Program (May 14, 2025 to May 20, 2025)
  • Interdisciplinary Approaches in Scientific Research and Teaching - Faculty Development Program (April 1, 2025 to April 5, 2025)
  • Cyber Security - FDP (March 17, 2025 to March 31, 2025)
  • Foundation of Cloud IoT Edge ML - Faculty Development Programme (February 17, 2025 to April 25, 2025)
  • USAGE OF DEEP LEARNING, MACHINE LEARNING AND ARTIFICIAL INTELLIGENCETOWARDS SMART MOBILITY - One Week International Online FDP (December 16, 2024 to December 21, 2024)
  • Artificial Intelligence, Machine Learning & Deep Learning - Train the Trainer Workshop (November 25, 2024 to November 30, 2024)
  • Artificial Intelligence in Education - Six Days Faculty Development Program (June 24, 2024 to June 29, 2024)
  • Harnessing AI: Tools, Applications and its Innovations - Faculty Development Program (May 20, 2024 to May 25, 2024)
  • NEP 2020 Orientation and Sensitization Programme - NEP 2020 Orientation and Sensitization Programme under Malaviya Mission Training of UGC (March 5, 2024 to March 14, 2024)
  • Cyber Intelligence and Analytics - Online Faculty Development Program (March 4, 2024 to March 9, 2024)
  • Generative AI - One Week Faculty Development Program (March 4, 2024 to March 9, 2024)
  • Cloud Computing - Faculty Development Programme (January 26, 2024 to April 25, 2024)
  • Cloud Infrastructure (AWS) - One Week National Level Faculty Development Program (August 21, 2023 to August 25, 2023)
  • Cyber Security and Privacy - Faculty Development Programme (July 17, 2023 to October 21, 2023)
  • Artificial Intelligence - Microsoft, SAP & AICTE ATAL Faculty Development Program (February 20, 2023 to February 24, 2023)
  • 5G & IoT and Research Directions - Online Short Term Training Program (April 18, 2022 to April 22, 2022)
  • STRESS MANAGEMENT - Faculty Development Programme (January 24, 2022 to January 29, 2022)
  • FDP on "Virtual and Augmented Reality for Robotics" - Faculty Development Programme (July 12, 2021 to July 16, 2021)
  • Identification of Cyber Criminal Suspects using Data Analytical Techniques and R Studio Software - AICTE Sponsored Two Weeks Online FDP (June 14, 2021 to June 27, 2021)
  • Practical Deep Learning - National FDP (February 1, 2021 to February 5, 2021)
  • Artificial Intelligence - AICTE Training And Learning (ATAL) Academy Online FDP (January 18, 2021 to January 22, 2021)
  • Research Aspects on Deep Learning in Image and Video Processing - I” - AICTE sponsored STTP (December 14, 2020 to December 19, 2020)

Online Courses
  • Foundation of Cloud IoT Edge ML - NPTEL (February 17, 2025 to April 19, 2025)
  • Cloud Computing - NPTEL (January 22, 2024 to April 13, 2024)
  • Cyber Security and Privacy - NPTEL (July 30, 2023 to October 31, 2023)
  • Introduction to Internet of Things - NPTEL (July 26, 2019 to October 31, 2019)

Events Organized
  • Dr. Anitha A - Symposium Techliga 2K17
  • Dr. Anitha A - Symposium Techliga 2018
  • Dr. Anitha A - NAtional Conference on Innovative Research in Advanced Computing NCIRAC'23
  • Dr. Anitha A - Workshop on Practical Deep Learning
  • Dr. Anitha A - Alumni Interaction
  • Dr. Anitha A - Alumni Interaction
  • Dr. Anitha A - Faculty Development Program

Awards
  • Dr. Anitha A - Outstanding Faculty Award Received on 30-04-2023 at Benz Park Vellore by RAMFO Academic Awards, RK Foundations
  • Dr. Anitha A - Best Researcher Award on 23-06-2024 at International Award Ceremony Higher Education Excellence Awards HEEA 2024

Guest Activities
  • No guest activities available.

Additional Contributions
  • No additional contributions available.
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