PhD Admission Even Sem 2025 - Result Announced                      Application Forms for AY 2025-26 shall be available by 01 Feb 2025.

Jaypee Institute of Information Technology, Noida
  • JIIT
  • JIIT
  • JIIT
  • JIIT
Associate Professor
anita.sahoo@jiit.ac.in

Biography:

Dr. Anita Sahoo completed her Ph.D. in Medical Image Analysis from Jaypee Institute of Information Technology (JIIT), Noida, in March 2017. With over 25 years of teaching experience, she is currently an Associate Professor in the Department of Computer Science & Engineering and Information Technology at JIIT, Sector-62, Noida, India.

Her research centers on leveraging computational intelligence to create robust frameworks for knowledge discovery and to address complex identification and recognition problems. She has been awarded one patent, with two published, and is an investigator of a government-funded research project in the area of medical image analytics.

Dr. Sahoo has published more than 40 research papers in prominent international conference proceedings and journals. She has successfully supervised three Ph.D. scholars and is currently guiding another. Her research interests include computational intelligence, quantum machine learning, and multimedia data analytics.

Educational Qualifications:

  • Ph.D (Computer Science & Engineering) from JIIT, NOIDA, March 2017.
  • M.Tech. (Computer Science & Engineering) from U.P.T.U.
  • B.E. (Computer Science & Engineering) from Utkal University, Odisha.

Work Experience:

Teaching Experience:

  • Presently working as Associate Professor in the Department of Computer Science & Engineering and Information Technology at Jaypee Institute of Information Technology (JIIT), Sector 62, NOIDA, U.P. from January 2019 to till date.
  • Prior to served as a faculty in the Department of Computer Science & Engineering at JSS Academy of Technical Education, Sector 62, NOIDA, U.P. and in KIIT, Bhubaneswar, Odisha..

Interest Area:

Pattern Recognition, Computational Intelligence, Digital Image Processing, Quantum Machine Learning.

Research Contributions

PhD Supervision:

  • Dr. Varsha Garg (Awarded:Aug 2022); Title: Effective Identification of Endometrial Tuberculosis for Infertility using Machine Learning; Co-Guide: Prof. Vikas Saxena
  • Ms. Bhavna Bansal (Awarded: Nov 2023); Title: “Meta-heuristic based Computational Techniques for Omics Data Analysis”
  • Ms. Anupama Padha (Thesis submitted: Dec 2024); Title: “Advancing Temporal Data Classification with Quantum Powered Machine Learning”
  • Ms. Kajol Kathuria (Ongoing); Area: Early Detection of Melanoma Cancer; Co-Guide: Dr. Chakresh Jain

Publications:

Google Scholar Link: : https://scholar.google.co.in/citations?user=maZrlYcAAAAJ&hl=en

  • Bansal, B., Sahoo, A. Enhanced honey badger algorithm for multi-view subspace clustering based on consensus representation. Soft Comput (2024). https://doi.org/10.1007/s00500-024-10302-3 (Publisher: Springer, SCIE, Scopus indexed, IF: 4.1)
  • Padha, A., Sahoo, A. Quantum deep neural networks for time series analysis. Quantum Inf Process 23, 205 (2024). https://doi.org/10.1007/s11128-024-04404-y (Publisher: Springer, SCIE, Scopus indexed, IF: 2.2)
  • Meenal Jain, Akshat Jain, and Anita Sahoo. 2024. Protective system for drones against GPS spoofing using image and signal analysis. In Proceedings of the 2024 Sixteenth International Conference on Contemporary Computing (IC3-2024). Association for Computing Machinery, New York, NY, USA, 384–389. https://doi.org/10.1145/3675888.3676075 (ACM, Scopus Indexed)
  • Meenal Jain, Anita Sahoo, Pratibha Sing, “Network Optimization in Intelligent IoT Applications – Principles and Challenges” (2023). Network Optimization in Intelligent IoT Applications – Principles and Challenges (1st ed.). CRC Press. (Taylor and Francis Group, Scopus Indexed)
  • Padha, A., Sahoo, A. Quantum deep neural networks for time series analysis. Quantum Inf Process 23, 205 (2024). https://doi.org/10.1007/s11128-024-04404-y
  • Padha, A., Sahoo, A., QCLR: Quantum-LSTM Contrastive Learning Framework for Continuous Mental Health Monitoring, Expert Systems with Applications, Sep 2023. https://doi.org/10.1016/j.eswa.2023.121921 (Publisher: Elsevier, SCIE, Scopus indexed, IF: 8.5)
  • Agarwal, P., Sahoo, A. & Garg, D. An Improved Quantum Inspired Particle Swarm Optimization for Forest Cover Prediction. Ann. Data. Sci. (2024). https://doi.org/10.1007/s40745-023-00509-w (Publisher: Springer, Scopus indexed)
  • A. Sahoo, A. Bansal, A. Mishra and M. Modit, "Effective Approach for Computer Programming Text-Book Content Translation to Hindi Language," 2023 Second International Conference on Informatics (ICI), Noida, India, 2023, pp. 1-5, doi: 10.1109/ICI60088.2023.10421258.
  • Padha, A., Sahoo, A. MAQML: a Meta-approach to Quantum Machine Learning with Accentuated Sample Variations for Unobtrusive Mental Health Monitoring. Quantum Mach. Intell. 5, 17 (2023). https://doi.org/10.1007/s42484-023-00108-1 (Publisher: Springer, ESCI, Scopus indexed, IF:4.8)
  • Bansal, B., Sahoo, A., Multi-omics data fusion using adaptive GTO guided Non-negative matrix factorization for cancer subtype discovery, Computer Methods and Programs in Biomedicine, Volume 228, January 2023, 107246. https://doi.org/10.1016/j.cmpb.2022.107246 (Publisher: Elsevier, SCI, Scopus indexed, IF: 6.1)
  • Prashant Kumar, Sneha Adhikari, Parul Agarwal, and Anita Sahoo. 2022. Stock Prices Prediction Based on Social Influence & Historic Data. In Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing (IC3-2022). Association for Computing Machinery, New York, NY, USA, 276–283. https://doi.org/10.1145/3549206.3549257. (ACM, Scopus indexed)
  • Anupama Padha and Anita Sahoo. 2022. Quantum Enhanced Machine Learning for Unobtrusive Stress Monitoring. In Proceedings of the 2022 Fourteenth International Conference on Contemporary Computing (IC3-2022). Association for Computing Machinery, New York, NY, USA, 476–483. https://doi.org/10.1145/3549206.3549288. (ACM, Scopus indexed)
  • Garg, V, Sahoo, A, and Saxena, V., “Identification of Endometrial Tuberculosis in Infertility using Non-Subsampled Contourlet based Convolution Neural Network”, Expert Systems with Applications, Sep 2022. https://doi.org/10.1016/j.eswa.2022.117282 (Publisher: Elsevier, SCIE, Scopus indexed)
  • Bansal, B., & Sahoo, A., “Bansal, B., Sahoo, A. Chaotic driven gorilla troops optimizer based NMF approach for integrative analysis of multiple source data. Int. j. inf. tecnol. (2022). https://doi.org/10.1007/s41870-022-00928-7 (Publisher: Springer, Scopus indexed)
  • Bhavana Bansal and Anita Sahoo, “Hybrid Gorilla Troops Optimizer based-NMF algorithm for Integrative Data Analysis”, 3rd Doctoral Symposium on Computational Intelligence (DOSCI 2022) (Springer, Scopus indexed)
  • Anupama Padha, and Anita Sahoo, “Ensemble of Parametrized Quantum LSTM Neural Networks for Multimodal Stress Monitoring”, 3rd International Conference on Artificial Intelligence: Advances and Applications (ICAIAA 2022), April 23-24, 2022 (Springer, Scopus indexed)
  • A. Padha and A. Sahoo, "A Parametrized Quantum LSTM Model for Continuous Stress Monitoring," 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom), 2022, pp. 261-266, doi: 10.23919/INDIACom54597.2022.9763118. (IEEE, Scopus indexed)
  • Bansal, B., Nanda, A., & Sahoo, A. (2022). Intelligent Framework With Controlled Behavior for Gene Regulatory Network Reconstruction. International Journal of Information Retrieval Research (IJIRR), 12(1), 1-17. http://doi.org/10.4018/IJIRR.2022010104 (Indexed in ESCI)
  • Garg, V., Sahoo, A. & Saxena, V. A cognitive approach to endometrial tuberculosis identification using hierarchical deep fusion method. Soft Comput (2021). https://doi.org/10.1007/s00500-021-06474-x (Indexed in SCIE)
  • Garg V., Sahoo A., Saxena V., “FusionFramework for Morphological and Multispectral Textural Features for Identificationof Endometrial Tuberculosis”, In Proceedings of International Conference on Contemporary Computing IC3 ’21, August 05–07, 2021, Noida, India © 2021 Association for Computing Machinery. ACM ISBN 978-1-4503-8920-4/21/08. . . $15.00 https://doi.org/10.1145/3474124.3474150 (Indexed in Scopus)
  • Garg, V., Sahoo, A. & Saxena, V. Enhanced textural analysis for endometrial tuberculosis identification from ultrasound images. International Journal of Information Technology, Vol. 13, pp. 657–666, 2021. https://doi.org/10.1007/s41870-020-00605-7 (Indexed in Scopus)
  • Varsha Garg, Anita Sahoo, Vikas Saxena, “Identification of female genital tuberculosis in infertility using textural features”, International Journal of Swarm Intelligence, (In Press), 2021. DOI: 10.1504/IJSI.2021.10037151
  • Garg V., Sahoo A., Saxena V., “Gradient Local Auto Correlation Co-occurrence Machine Learning Model for Endometrial Tuberculosis Identification”, In Proceedings of International Conference on Machine Intelligence and Data Science Applications, Algorithms for Intelligent Systems, Springer, Singapore, pp 581-593, 2021. https://doi.org/10.1007/978-981-33-4087-9_48 (Indexed in Scopus)
  • B. Bansal, A. Nanda and A. Sahoo, "Issuesand Strategies for Modeling Gene Regulatory Networks," 2020 Research, Innovation, Knowledge Management and Technology Application for Business Sustainability (INBUSH), 2020, pp. 39-43, doi: 10.1109/INBUSH46973.2020.9392183. (Indexed in Scopus)
  • D. Srivastava, Y. Singh and A. Sahoo, "Auto Tuning of RNN Hyper-parameters using Cuckoo Search Algorithm," 2019 Twelfth International Conference on Contemporary Computing (IC3), 2019, pp. 1-5, doi: 10.1109/IC3.2019.8844900. (Indexed in Scopus)
  • Anita Sahoo, "Adaptive Noise Cancellation from Color Images Using a Novel T-S Fuzzy System for Noise Detection", IEEE- International Conference on Recent Innovations in Electrical, Electronics & Communication Engineering, 27-28 July 2018. (Indexed in Scopus)
  • Monika, Anita Sahoo, “A hybrid filter-wrapper feature selection method for stress detection and monitoring among employees at workspaces”, International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.831-836, June 2018. (Indexed in ICI)
  • A. Sahoo, S. Chandra, "Multi-Objective Grey Wolf Optimizer for Improved Cervix Lesion Classification", Applied Soft Computing, Vol. 52, pp. 64-80, 2017. (Publisher: Elsevier, Indexed in SCI, Scopus etc.)
  • Ayushi Rathore, Vatsal Sharma, Shreyas Nanaware and Anita Sahoo, "Effective Greenhouse Monitoring and Controlling Using Recurrent Fuzzy Neural Network", Journal of Engineering and Applied Sciences, Vol. 12 (9), pp. 8574-8578, 2017. (Indexed in Scopus)
  • S. Agarwal, B. Bansal, A. Sahoo, “Technological Challenges in IOT based Healthcare Systems”, 4th International Conference on Computing for Sustainable Global Development, BVICAM, India, pp. 546-551, 01- 03 Mar, 2017. (Indexed in Scopus)
  • A. Sahoo, S. Chandra, "Improved Cervix Lesion Classification using Multi-Objective Binary Firefly Algorithm based Feature Selection", International Journal of Bio-Inspired Computation, Vol. 8(6), pp. 367-378, 2016. (Publisher: Inderscience, Indexed in SCI, Scopus etc.)
  • Tarunika, A. Sahoo, "Securing QR Codes with Encryption Schemes: A Survey", International Journal of Computer Sciences and Engineering, Vol. 04(07), pp. 168-191, Jul 2016. (Indexed in Scopus, 2015 Impact Factor: 2.162)
  • Bansal, A. Sahoo, “Bat Algorithm for Full Model Selection in Classification: A Multi-objective Approach”, International Journal of Innovations & Advancement in Computer Science, Vol. 4, pp. 376-384, Mar 2015. (DIIF Impact Factor: 2.65)
  • G. Kulshestha, A. Agarwal, A. Mittal, A. Sahoo, “Hybrid cuckoo search algorithm for simultaneous feature and classifier selection”, IEEE Sponsored International Conference on Cognitive Computing and Information Processing (CCIP 2015), pp. 1-6, Mar 2015. (Indexed in Scopus)
  • B. Bansal, A. Sahoo, “Full Model Selection Using Bat Algorithm”, IEEE Sponsored International Conference on Cognitive Computing and Information Processing (CCIP 2015), pp. 1-4, Mar 2015. (Indexed in Scopus)
  • S. Jaiswal, S. Bhadouria, A. Sahoo, “KNN Model Selection using Modified Cuckoo Search Algorithm”,IEEE Sponsored International Conference on Cognitive Computing and Information Processing (CCIP 2015), pp. 1-5, Mar 2015. (Indexed in Scopus)
  • A. Sahoo, S. Chandra, “Meta-heuristic approaches for active contour model based medical image segmentation”, International Journal of Advances in Soft Computing and Its Applications, Vol. 6(2), pp. 1-22, July 2014 (Indexed in Scopus)
  • A. Sahoo, S. Chandra, “Medical image segmentation schemes for the analysis of gynaecological malignancies“, International Journal of Knowledge-Based and Intelligent Engineering Systems, IOS Press, Vo. 17(4), pp. 291-304, Nov 2013. (Indexed in Scopus)
  • Sharma, A. Zaidi, R. Singh, S. Jain, A. Sahoo, "Optimization of SVM classifier using Firefly algorithm," 2013 IEEE Second International Conference on Image Information Processing (ICIIP), pp.198-202, 9-11 Dec. 2013, doi: 10.1109/ICIIP.2013.6707582 (indexed in IEEE Xplore digital library)
  • A. Sahoo, S. Chandra, "L'evy-flight firefly algorithm based active contour model for medical image segmentation," Sixth IEEE Conference on Contemporary Computing (IC3), 2013 , vol. 162, pp.159, 8-10 Aug. 2013  (Indexed in Scopus)
  • A. Sahoo, S. Chandra, “A Novel Gaussian Firefly Algorithm for ROI Extraction from Medical Images”, IEEE Conference on Advances in Computing, Communications and Informatics (ICACCI), pp 919-924, 2013 
  • S. Hiremath, A. Sahoo, “Robust Image Watermarking By Establishing Adaptive Attributes”, Mobile Communication and Power Engineering, Communications in Computer and Information Science (CCIS), Vol. 296, pp 512-515, 2013 (Indexed in Scopus)
  • K. Upreti, K. Verma, A. Sahoo, “Variable Bits Secure System for Color Images”, IEEE International Conference on Advances in Computing, Control, and Telecommunication Technologies, 2-3 Dec 2010, Jakarta, Indonesia, pp. 105-107, 2010. (Indexed in Scopus)  
  • A. Sahoo, M. P. Singh,  “Color Image Restoration Using Fuzzy Logic based Morphological Filter”, Third Global Conference on Power Control and Optimization 2010, 2-4 Feb, Gold Coast, Australia, 2010
  • A. Sahoo, S. Rohal, N. Khan, P. Pandey, M. Srivastava, “Color Image Restoration Using Morphological Detectors and Adaptive Filter”,  Springer International Conference on Contemporary Computing IC3 2009, Springer-Verlag Berlin Heidelberg, CCIS 40, pp. 381–388, 2009. (Indexed in Scopus)
  • A. Sahoo, M. P. Singh, "Fuzzy Weighted Adaptive Linear Filter for Color Image Restoration Using Morphological Detectors", International Journal on Computer Science and Engineering, Sep. 2009, Vol.1 (3), pp. 217-221, 2009.  
  • A. Sahoo, R. Pandey, S. Singh, S. Bhatt, R. P. Singh, “Fuzzy Logic Based Collision Free Path Planning in a Dynamic Environment”, International Conference on Information Processing ICIP-2009, 7-9 Aug,  pp 638-643, Bangalore, 2009.
  • A. Sahoo, “State of the Art in the field of Image Restoration”, National Conference on Emerging Trends in Embedded Technology, 14 Feb 2009, SGIT College, Ghaziabad, 2009. 
  • A. Sahoo, “A Novel Noise Removal Technique for Still Images based on Local Entropy and Fractals”, National Conference on Future Trends in Applications of Computers in Science & Technology, 7-8 Feb 2009, IMS Engineering College, Ghaziabad, 2009
  • V. Saxena, A. Sahoo, “Exploiting 4-Neighborhood Concept in Feature based Image Morphing”, CSI International Conference on Emerging Applications of IT, 10-11 Feb 2006, CSI Kolkata.

Funded Projects:

  • Project titled “Computational Diagnosis of Endometriosis Causing Infertility in Indian Women”, Project ID - 3689, Rs. 13.08 Lakhs sanctioned by CSTUP dated 7th Aug 2024 for duration of 3 years.
  • Project titled “AI tool to convert speech to Indian Sign Language (ISL) to aid hearing impaired learners”, approved under DRID/Projects/2022, JIIT dated 1st Apr 2022, Budget for 1st year: Rs 2.8 Lac

Patents:

  • Granted the patent application for the invention titled “A method to set a threshold value for a Flex sensor” in the name of Jaypee Institute of Information Technology, Noida. Grant Date: 18th Mar 2024, Application No: 202111027482, Publication Date: 14th Jan 2022. Inventors: Vikas Saxena, Himani Bansal, Anita Sahoo, Swapnil Kusumwal, Sidharth Ranjan Singh and Yashvardhan Verma.

  • Published a patent application for the invention titled "A Novel Process for Ambient Screen Control Automation System” Jaypee Institute of Information Technology, Noida. Application No.: 202211031888, Publication Date: 10th June 2022. Inventors: Anita Sahoo, Vikas Saxena, Himani Bansal, Ishan Jain, Mayur Bansal, Pradhuman Gupta

Workshop and FDP organized/ attended (last three years):

  • One week workshop on ‘Business Intelligence and Analytics using Microsoft Power BI’ from November 18th – 22nd, 2024 organized by the Department of Humanities and Social Sciences, Jaypee Institute of Information Technology, Noida
  • Two-week Online Summer School organized by Department of CSE & IT on “Emerging Trends in Software Development: Tools and Techniques”, 1st - 13th July, 2024.
  • One week FDP on Autonomous AI for Sustainable Development, 3rd Jun –8th Jun, 2024, Department of CSE & IT, JIIT Noida
  • One week FDP on High Performance Computing and Emerging Trends, 27th May to 1st June 2024, Institute Industry Linkage Cell (IILC), Department of CSE & IT, JIIT Noida.
  • One week FDP on Data Science and Its Applications, Apr 5-12, 2024, ACT Academy, Kerela, India.
  • One week FDP on Emerging Researchers with AI Techniques, Apr 1-5, 2024, JIIT, Noida.
  • Certified as a Coach of AI for Youth Program in India on February 23, 2024.
  • One week FDP on Automated Software Development and Delivery using Microservices and Kubernetes, 26th – 31st December, 2023, JIIT, Noida.
  • Two week Online Summer School on Cyber Threat Intelligence and Forensics, 3rd-15th July 2023, JIIT, NOIDA
  • One week FDP on “AI Tools”, 28 June – 03 July 2023, JIIT, NOIDA
  • Organized One Week Online Faculty Development Program (FDP) on Green IoT for Sustainable Development, 13-17 June, 2022, JIIT Sec-62, NOIDA, India
  • One Week Online Faculty Development Program (FDP) on Green IoT for Sustainable Development, 13-17 June, 2022, JIIT Sec-62, NOIDA, India
  • Two-weeks training program for faculty members on AICTE Student Learning Assessment – STTP-PARAKH in collaboration with Construction Industry Development Council (CIDC), Mar 07-22, 2022, AICTE, India
  • One-week AICTE Training And Learning (ATAL) Academy Online Advanced FDP on "Quantum Computing-Building Concepts" Feb 07-11, 2022, Amity Institute of Information Technology, India

Other Academic Activities (last three years):

  • Coordinator, Centre of Excellence on AI for Education, JIIT, Noida.
  • NBA co-coordinator, JIIT NOIDA, 2020-till date.
  • OBE co-coordinator, JIIT NOIDA, 2021-till date.
  • NAAC co-coordinator, JIIT NOIDA, 2019-2021.
  • Publication Co-chair, 2022 International Conference on Informatics (ICI-2022), 14-16 Apr, 2022
  • Session manager in various International Conferences.
  • Reviewer of research articles submitted to peer reviewed International Journals of repute.
  • TPC member in various International Conferences

PROFESSIONAL MEMBERSHIP

  • Member of IEEE (MIEEE) - # 93139666
  • ACM membership #6056044
  • Life Time Membership of Indian Society for Technical Education (ISTE) - #44024
  • Life Time Membership of Society for Research and Development (SRD) - #SRDLM00023
  • Life Time Membership of International Association of Engineers (IAENG) - #148128

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