Face Recognition, Facial Emotion recognition, Facial Depression Recognition, Emotion Recognition of Autism Child

 Project Linked Person to work in the Project “Understanding the Separation of Information Streams in Face Image Processing” in Social Science Division in Indian Statistical Institute (Kolkata) from Feb. 2018 to Mar. 2018.
 Senior Research Fellow under State Govt. Fellowship Scheme in the Department of Computer Science & Engineering in Jadavpur University from 12th Oct. 2012 to 11th Oct. 2017.
 Project Fellow in UGC Sponsored Research Project “Development Robust Face Recognition From Video” in the Department of Computer Science & Engineering in Jadavpur University from 07th Mar 2011 to 11th Oct. 2012.

 PHD ( ENGINEERING ) 11TH OCT 2018
COMPUTER SCIENCE AND ENGINEERING, JADAVPUR UNIVERSITY, KOLKATA, INDIA.
~ THESIS TITLE: “STUDIES ON FEATURE EXTRACTION AND FUSION STRATEGIES FOR FACE RECOGNITION”
~ SUPERVISOR: PROF. (DR.) JAMUNA KANTA SING, CSE DEPT., JADAVPUR UNIVERSITY.
~ SGPA: 7.5 / 10.0 (PH.D. COURSEWORK)
~PHD THESIS AWARD IN CONFERENCE
• “HONORABLE MENTION AWARD” IN PHD. SYMPOSIUM OF 3RD IEEE CONFERENCE CICT-2019 AT IIIT-ALLAHABAD, 6TH – 8TH DEC. 2019.
• “OUT STANDING DOCTORAL THESIS AWARD” IN PHD SYMPOSIUM OF SPRINGER 4TH INTERNATIONAL CONFERENCE ON SOCTA-2019 AT NIT-PATNA, 27TH -29TH DEC. 2019.

 M. TECH. IT ( COURSEWARE ENGINEERING) 2010
SCHOOL OF EDUCATION TECHNOLOGY, JADAVPUR UNIVERSITY, KOLKATA, INDIA
~ THESIS TITLE: “MULTI AGENT MODEL WITH DATA MINING METHOD TO CLASSIFY STUDENTS”
~ SUPERVISOR: DR. ARPITA MAJUMDER, HEAD EDUCATION & TRAINING, CMC LIMITED. KOLKATA.
~ CGPA: 6.56 / 10.0

 B. TECH. ( COMPUTER SCIENCE & ENGINEERING ) 2007
COMPUTER SCIENCE & ENGINEERING, BENGAL COLLEGE OF ENGINEERING &TECHNOLOGY, DURGAPUR.
WEST BENGAL UNIVERSITY OF TECHNOLOGY (WBUT), INDIA.
~ PROJECT TITLE: “NETWORK SECURITY IN APPLICATION LAYER”
~ DGPA: 7.38 / 10.0.

[J14.] M. Mukhopadhyay, C. Kar, S. Kahali, A. Dey, “Synergizing Bernoulli and Entropy for Robust Multi-Scale LBP Image Fusion in Facial Emotion Recognition”, Journal of Intelligent & Fuzzy Systems, (Accepted) (SCI Index).

[J13.] C. Pal, S. Das, A. Akuli, S. K. Adhikari, A. Dey “Cocoa-Net: Performance analysis on Classification of cocoa beans using structural image feature”, Informatica Si. Vol. 48, pp. 41- 54, 2024.

[J12.] S. Neogi, G. Aich, A. Dey, O. Bandyopadhyay, S. Maitra; K. Ghosh, “Otsu-BRSG: An Effective Algorithm for River Bank Line Detection and Monitoring in the Challenging Terrains of Kaziranga National Park”, Journal of the Indian Society of Remote Sensing, vol. 52, pp. 1–20 (2024) (SCI Index).

[J11.] M. Ghosh, A. Dey, S. Kahali “A weighted fuzzy belief factor-based D-S evidence theory of sensor data fusion method and its application to face reccognition”, Mutimedia Tools and Applications, Vol. 83, No. 2 pp. 10637–10659, 2024. (SCI Index).

[J10.] A. Dey, S. Chowdhury, M. Ghosh, S. Kahali “T2-Fuzzy Multi-Fused Facial Image Fusion (T2FMIF): An Efficient Face Recognition”, Journal of Intelligent & fuzzy system, Vol. 45, No. 1, pp.743-761 , 2023. (SCI Index).

[J9.] M. Ghosh, A. Dey, “Fractional-weighted Entropy-based Fuzzy G-2DLDA Algorithm: A New Facial Feature Extraction method”, Mutimedia Tools and Applications, Vol. 82, No. 2 pp. 2689–2707, 2023. (SCI Index).

[J8.] M. Mukhopadhyay, A. Dey, S. Kahali “A Deep-Learning-Based Facial Expression Recognition method Using Textural Features”, Neural Computing and Applications, Vol. 35, No. 9 pp. 6499–6514, 2023 (SCI Index).

[J7.] M. Ghosh, A. Dey, S. Kahali “Type-2 fuzzy blended improved D-S evidence theory based decision fusion for face recognition”, Appl. Soft Comput. 125: 109179 (2022) (SCI Index).

[J6.] A. Dey, J. K. Sing, and S. Chowdhury, “A New Fuzzy and Gaussian Distribution Induced Two Directional Inverse FDA for Feature Extraction and Face Recognition”, International Journal Advance Intelligence Paradigms Vol. 22, No. 1/2, pp. 148- 166, 2022.

[J5.] A. Dey, S. Chowdhury, “Probabilistic Weighted induced Multi-Class Support Vector Machines for Face Recognition”, Informatica Si, Vol. 44, No. 4, pp. 345- 353, 2020.

[J4.] J. K. Sing, A. Dey, M. Ghosh, “Confidence Factor Weighted Gaussian function Induced Parallel Fuzzy Rank Level Fusion for Inference and its Application to Face Recognition”, Information Fusion, Vol. 47, pp. 60- 71, 2019 (SCI Index).

[J3.] A. Dey, M. Ghosh, “A Novel Approach to Fuzzy-Based Facial Feature Extraction and Face Recognition”, Informatica Si, Vol. 43, No. 4, pp. 535- 543, 2019.

[J2.] A. Dey, S. Chowdhury, and J. K. Sing, “Performance Evaluation on Image Fusion Techniques for face recognition”, International Journal Computational Vision and Robotics. Vol. 8, No. 5, pp. 455- 475, 2018.

[J1.] A. Dey, J. K. Sing, and S. Chowdhury, “Weighted Fuzzy Generalized 2DFLD: A Fuzzy Feature Extraction Technique for Face Recognition”, International Journal of Machine Learning and Computing, Vol. 7, No. 6, pp. 223- 231, 2017.

• Development of Face Recognition Techniques from video under changing environment as a Principal Investigator Funded by Institute of Engineers (IEI) in the period of March 2019 to December 2019.
• Design and Development of Face Recognition Techniques from Surgical Face Databases- as a Principal Investigator Funded by Institute of Engineers (IEI) in the period of March 2024 to Feb 2025.

• Sourav Kumar Dey completed as M. Tech thesis (Face Recognition using D-S theory) in Bankura Unnayani Institute of Engineering Under MAKAUT (2019).
• Somnath Ghosh completed as M. Tech thesis (Real-Time Smart Attendance System using Face Recognition Technique) in MAKAUT (2022).
• Sourav Dutta completed as M. Tech thesis (Face Recognition using Local Binary Pattern and Convolution Neural Network) in MAKAUT (2022).
• Samikshan Das completed as M. Tech thesis (Discrimination of cocoa beans using structural image features) in MAKAUT (2022).
• Sudipta Kumar Ghosh completed as M. Tech thesis (Facial Emotion Recognition using Local Binary Pattern with HOG transformation and Convolution Neural Network) in MAKAUT (2022)
• Tirthankar Debnath completed as M. Tech thesis (Vehicle Recognition from Video using Yolo v4) in MAKAUT (2022)
• Debjyoti Bera completed as M. Tech thesis (Fruit Recognition using Convolution Neural Network) in MAKAUT (2022)
• Dimpal Dutta completed as M. Tech thesis (Face Recognition using Binary Ternary Pattern and HOG Using Convolution Neural Network) in MAKAUT (2022).
• Kamaluddin Mandal completed as M. Tech thesis (Face Recognition using Local Ternary Pattern and HOG Using Convolution Neural Network) in MAKAUT (2022).
• Rohan Chakraborty completed as M. Tech thesis (Face Recognition using Textural pattern and VGG-net) in MAKAUT (2022)
• Subhankar Dey completed as M. Tech thesis (Grain Segmentation using Machine learning) in MAKAUT (2022)
• Trisha Basak completed as M. Tech thesis (Face Recognition using Local Ternary Pattern and Convolution Neural Network) in MAKAUT (2022).
• Abhinandan Ghogh completed as M. Tech thesis (Comparative study in Fruit classification using Deep Learning) in MAKAUT (2022).

• Ms. Moutan Mukhopadhyay, Assistant Professor, Department of Computer Science Engineering, Bengal Institute of Technology, Bantala, Kolkata, India.
Title of the thesis “Studies on Textural Feature Extraction and Fusion Strategies for facial Emotion Recognition”;
Date of Registration: 05.10.2020, Index no: PHD/TECH/CSE005/2020
• Ms. Kakoli Dey, Assistant Professor of Department of Computer Science, Basanti Devi College, Kolkata, India. (Under Process)
Title of the thesis “Studies on Textural Feature Extraction and Machine learning Strategies and its application to Face Recognition”;
• Ms. Olivia. Saha Mandal, Assistant Professor, Department of Computer Science Engineering, Techno Engineering College, Banipur, Kolkata, India. (Registration: Techno India University)

[C21] K. Dey, S. Chakraborty, S. Chowdhury, A. Dey, " Performance analysis on classification of surgical face using textural features and PCA”, Proceeding of the Human 2025, pp- 1-6, 2025.
[C20] M. Mukhopadhyay, A. Dey, R. N. Shaw and A. Ghosh, " mL-mB LBP Fused net: multi-Layer-multi–Block LBP image fusion Facial Expression Recognition”, Proceeding of the ICEEE 2024, pp- 1-6, 2024.
[C19] O. Saha Mandal, A. Dey, A. Ghosh, and R. N. Shaw, “Fruit-Net: Fruits recognition system using Convolution Neural Network", Proceeding of the ICACIS 2022, pp- 120-133, 2022.
[C18] M. Mukhopadhyay, A. Dey, A. Ghosh, and R. N. Shaw, "Facial emotion recognition based on Textural pattern and Histogram of Oriented Gradient”, Proceeding of the ICACIS 2022, pp- 111-119, 2022.
[C17] S Das, A Akuli, S Parua, A. Dey, R. N. Shaw and A. Ghosh, “Discrimination of cocoa beans using structural image features: An Experimental Analysis”, Proceeding of the GlobConET-2022, pp- 1138-1142, 2022 .
[C16] M. Mukhopadhyay, A. Dey, R. N. Shaw and A. Ghosh, "Facial emotion recognition based on Textural pattern and Convolutional Neural Network”, Proceeding of the GUCON 2021, pp- 1-6, 2021.
[C15] M. Ghosh, A. Dey, R. N. Shaw and A. Ghosh, "Robust face Recognition by Fusing Fuzzy Type 2 Induced Multiple Facial Fused Image”, Proceeding of the GUCON 2021, pp- 1-6, 2021.
[C14] S. Bhattacharya, M. Ghosh, A. Dey, “Face Detection in unconstrained environments using Modified Multitask Cascade Convolutional Neural Network”, Proceeding of the ICI2C 2021, pp- 287-295 2021.
[C13] A. Dey, S. K. Dey, A. K. Roy, M. Ghosh, S. Chakraborty, and D. Kundu, “Confidence Belief Function Weighted Parallel Rank-level Fusion for Face recognition”, Proceeding of the IEMENTech 2019, pp. 1- 6, 2019. (Presented)
[C12] A. Dey, S. Chakraborty, D. Kundu, and M. Ghosh, “Elastic Window for Multiple Face Detection and Tracking from Video”, Proceeding of the CIPR 2019, pp. 487- 496, 2019. (Presented)
[C11] A. Dey, S. Chowdhury, and M. Ghosh, “Face Recognition using Ensemble Support Vector Machine”, Proceeding of the ICRCICN 2017, pp. 46-50, 2017. (Presented)
[C10] A. Dey, S. Chowdhury, and J. K. Sing, “Feature Extraction using Fuzzy Generalized Two Dimension Inverse LDA with Gaussian Probabilistic Distribution and Face Recognition”, Proceeding of the ICACCP 2017. pp. 553- 561. (Presented)
[C9] A. Dey, “A Contour based Procedure for Face Detection and Tracking from Video”, Proceeding of the RAIT 2016, pp. 483-489, 2016. (Presented)
[C8] A. Dey, and J. K. Sing, “Face Recognition by Fuzzy Generalized 2DFLD and RBF Classifier”, Proceeding of the WCI 2015. pp. 1-6, 2015. (Presented)
[C7] A. Dey, and J. K. Sing, “An Image Fusion Technique for Efficient Face Recognition”, Proceeding of the ReTIS 2015, pp. 261-266, 2015. (Presented)
[C6] S. Chowdhury, A. Dey, J. K. Sing, D. K. Basu, and M. Nasipuri, “A Novel Elastic Window for Face Detection and Recognition from Video”, Proceeding of the ICCICN 2014, pp. 252-256, 2014.
[C5] A. Dey, S. Chowdhury, J. K. Sing, D. K. Basu, and M. Nasipuri, “An Efficient Face Recognition Method by Fusing Spatial Discriminant Facial Features”, Proceeding of the ICAA 2014, LNCS 8321, pp. 277-286, 2014. (Presented)
[C4] A. Dey, S. Chowdhury, J. K. Sing, D. K. Basu, and M. Nasipuri, “An Efficient Method of Face Recognition by Fusing Original and Diagonal Images”, Proceeding of the CATCON 2013, pp. 308- 313, 2013. (Presented)
[C3] A. Dey, S. Chowdhury, and J.K. Sing, “Fusion of Directional Spatial Discriminant Features for Face Recognition”, Proceeding CIMTA- 2013, Procedia Technology, vol. 10, pp. 747-754, 2013.
[C2] A. Dey, R. B. Misra, and K. C. Paul, “ANN and Data Mining Approaches to Select Student Category in ITS”, Proceeding of the FICTA-2012, LNCS 199, pp. 43-50, 2012. (Presented)
[C1] A. Dey, and B. D. Mazumder, “Multi Agent Paradigm for student selection in ITS”, Proceeding AIATA- 2011, pp. 341-344, 2011. (Presented)