Ph.D.: Engineering, Jadavpur University [2013]
Thesis Title : “Soft Computing Methodologies for Identification of Some Possible Genes Mediating the Development of a Disease: Analysis of Microarray Gene Expression Profiles”
Submission of thesis: 2012

Post Graduate: M. Tech. Computer Sc. and Engineering; M.Sc. in CS, University of Calcutta

Under Graduate: B. Sc. (Honours) in Computer Science, University of Calcutta

01.06.2018 to Till Date; Professor; Dept. of CSE; Netaji Subhash Engineering College (NSEC)
01.01.2015 to 31.03.2019; Associate Professor; Dept. of CSE; Netaji Subhash Engineering College (NSEC)
18.10.2007 to 31.12.2014: Assistant Professor (Grade III and II); Dept. of CSE; Netaji Subhash Engineering College (NSEC)
18.10.2002 to 17.10.2007; Lecturer; Dept. of CSE; Subhash Engineering College (NSEC)

IEEE, Fellow Nikhil Bharat Shiksha Parisad

1. Senior Member IEEE
2. Under the headship, B.TECH Computer Sc. & Engineering of Netaji Subhash Engineering College has been awarded 2-years Accreditation by NBA for 2016-17 & 2017-18 (assessment years 2013-14, 2014-15, 2015-16)
3. “Faculty of the year 2010”,
4. “Partners in Success 2013”-- Recognized as Gold partner faculty under Inspire (Infosys),
5. “Certificate for Recognition” -- for outstanding performance in Campus Connect Program as a SPoC(Single Point of Contact) (Infosys),
6. “Outcome based Education" (QIP, ESCI Govt of India)
7. Fellow Nikhil Bharat Sikhsha Parisad
8. Professional Member of Institute of scholars: ID: 2020A264; 2020
9. Advisor, IEEE Computational Intelligence Society; 2020
10. Subject Matter Expert; NB Council for MOOCS: ID-SMEG: 21-03-382
11. BOS member MAKAUT, BSc Data Sc. & B.Sc Cyber Security, 2019
12. Certificate of Appreciation in "Research Excellence", NBSP; 2021
13. World Students' Day Award of Excellence--"Enthusiastic Teacher-2021", 2021
14. Sir C.V. Raman-" Technology Enthusiast" -Certificate of Recognition -- All India Eminent Faculty Council of Engineering, Management & Technology; 2021
15. Performance in Campus Connect; Infosys; 2015-2016
16. Certificate on Pedagogical Training Engineering Staff College of India; 7th-29th Nov, 2008
17. Refresher course on “Parallel and Distributed Technologies for High performance Computing”, University Grand Commission; 3rd - 22nd January, 2005
18. Short-term training program on “Induction Training” National Institute of Technical Teachers Training and Research; 19th - 31st March, 2007
19. Certification for High impact teaching skill” --“MISSION 10X ; Wipro, Dale Carnegie; 25th-30th January, 2010
20. ACM project contest (Finalist) ACM;2016
21. AICTE approved FDP coordinator “Foundation Program in ICT for Education” MHRD, Govt. of India 3rd August, 2017 to 7th Sept, 2017
22. Resource Person of A two-day Workshop on NBA in collaboration with Islamic University of Science & Technology, J&K on December 14-15, 2017 under the TEQIP – III programme at New Delhi MAKAUT, WB ;14th – 15th Dec, 2017
23. Smart India Hackathon 2018 Grand Finale, Ahmedabad (as a Mentor) MHRD 29th - 31st March, 2018

Adjunct faculty (2017 to Till date)-NIPER
Guest Faculty University of Calcutta (2009 to Till date)
Guest Faculty Jadavpur University (2013 to 2014)
Dept CSE, IIT KGP

Data Mining, AI, generative AI, Explainable AI, Soft Computing, Machine Learning, Sentiment Analysis, Deep Neural networks, Image Processing, bio-medical Imaging, Parallel computing (GPU-CUDA), Criminology, Network Security, Neurological & Psychological Disorders, Computational Biology

Hong Kong university of science and technology; Deakin University Australia

Only SCI/SCIE journals

1. Rajib Gandhi National Fellowship program (UGC) in the field of “Machine Learning in Bioinformatics” (2015-2020): 15 Lakhs ;
2. Investigator of a two-year joint research project with Bengal Engineering and Science University (BESU) under Technical Quality Improvement Program (TEQIP) in the field of Bioinformatics (Title: Development of an efficient bioinformatics tool for gene expression data analysis. Fund amount: 8 lakhs; Duration: 2006-2008

Five;
1. Guided thesis title: “Computational Methods to Analyze Microarray Gene Expression Data”; Reg: 3881/Ph.D (Tech) Proceed/ 2014; Awarded in 2021; Research Scholar: Sujay Saha, University of Calcutta ;
2. Guided thesis title: "Gene Selection and Gene – Gene Interaction on Expression Data Sets using Machine Learning Algorithms"; Reg. No. : PhD/Tech/CSEIT076/2018; Awarded, June 2023; Research Scholar: Swarup Ghosh, MAKAUT ;
3. Guided thesis title: BIOMARKER IDENTIFICATION FOR CANCER DATA SETS USING MACHINE LEARNING APPROACH ; Reg: 1001450015 awarded 2023; Research Scholar: Mr. Partho Mullick; Techno India University;
4. Guided thesis title: A Framework for Efficient Sentiment Analysis and Its Online Deployment; Research Scholar: Ms. Mousumi Bhattacharyya; Awarded 2024; Sister Nivedita University
5. Predictive Framework on Large Heterogeneous Crime Dataset using Machine Learning Approaches; Reg. No. : Ph.D./Tech/CSE100/2019; Awarded, August 2025; Research Scholar: Anupam Mukherjee, MAKAUT

5

Machine Learning, Bioinformatics

Some key talks:
1. Resource Person of A two-day Workshop on NBA on December 14-15, 2017 under the TEQIP – III programme at New Delhi;MAKAUT, WB;14th – 15th Dec, 2017
2. “Workshop on Linux Administration”- Netaji Subhash Engineering College; 21st – 23rd February, 2011
3. “Workshop on Bioinformatics”-Resource Person; University of Calcutta;12-13th February, 2009

40

Undergraduate: Operating Systems, AI, Machine Learning, Data Mining, Algorithms, Programming, Data Structure, Pattern recognition

Postgraduate: Advance Operating Systems, Data Analytics, Neural Network, Soft Computing, AI, Bioinformatics

HOD CSE, NSEC (2014 to 2017)
Member of Board of Studies, MAKAUT (2019 to till date)
NBA coordinator, NSEC (2017 to 2018)
Coordinator R&D Cell, NSEC (2017 to 2018)
SPoC -INFOSYS campus Connect, NSEC from 2011 to 2018
SPoC – B.TECH CSBS (TCS), SNU from 2018 to 2019

6

State Level NAAC Mentor, Govt of West Bengal Advisor, Department of CSE, Sister Nivedita University
CSE, IT and MCA dept. of MSIT college
NBA expert committee, MSIT

SCI /SCIE indexed Journal Papers:[no=33]
1. Rajat K. De and AnupamGhosh, “Linguistic recognition system for identification of some possible genes mediating the development of lung adenocarcinoma”, Information Fusion, vol. 10, pp. 260-269, 2008.(SCI Impact Factor=12.9)DOI: https://10.1016/j.inffus.2008.11.007
2. Rajat K. De and AnupamGhosh, “Interval based fuzzy systems for identification of important genes from microarray gene expression data: Application to carcinogenic development”, Journal of Biomedical Informatics, vol. 42, pp. 1022-1028, 2009. (SCI Impact Factor=6.31) DOI: https://doi.org/10.1016/j.jbi.2009.06.003
3.AnupamGhosh, Bibhas Chandra Dhara, and Rajat K. De, “Comparative analysis of cluster validity indices in identifying some possible genes mediating certain cancers”, Molecular Informatics, vol. 32, pp. 347-354, 2013. (SCI Impact Factor=3.35) DOI: https://doi.org/10.1002/minf.201200142
4. AnupamGhosh, Bibhas Chandra Dhara, and Rajat K. De, “Selection of genes mediating certain cancers, using neuro-fuzzy approach”, Neurocomputing, vol. 133, pp. 122-140, 2014. (SCI mpact Factor=5.71) DOI: https://doi.org/10.1016/j.neucom.2013.11.023
5. AnupamGhosh and Rajat K. De, “Development of a fuzzy entropy based method for detecting altered gene-gene interactions in carcinogenic state”, Journal of Intelligent & Fuzzy Systems, vol. 26, pp. 2731–2746, 2014. (SCI Impact Factor=1.71) DOI: https://10.3233/IFS-130942
6. AnupamGhosh and Rajat K. De, “Identification of certain cancer mediating genes using Gaussian Fuzzy Cluster Validity Index (GFI)”, Journal of Biosciences, vol. 40, pp. 741-754, 2015.(SCI Impact Factor=1.83); DOI: https://10.1007/s12038-015-9557-x
7. AnupamGhosh and Rajat K. De, “Fuzzy correlated association mining: Selecting altered associations among the genes, and some possible marker genes mediating certain cancers”, Applied Soft Computing, vol. 38, pp. 587-605, 2016.(SCI Impact Factor=6.72); DOI: https://doi.org/10.1016/j.asoc.2015.09.057
8. Swarup Kr Ghosh, Biswajit Biswas and Anupam Ghosh; “SDCA: A Novel Stack Deep Convolutional Autoencoder - An Application on Retinal Image Denoising”; IET Image Processing; 2019;13 (14):2778; DOI: http://10.1049/iet-ipr.2018.6582; (SCI-IF- 2.00);
9. BiswajitBiswas, Swarup Kr Ghosh and AnupamGhosh, “A Novel Automated Magnetic Resonance Image Segmentation Approach based on Elliptical Gamma Mixture Model for Breast Lumps Detection", International Journal of Imaging system and Technology; Wiley,2019; pp: 1–18 DOI: http://10.1002/ima.22341.; (SCIE-IF- 2.00);
10. BiswajitBiswas, Swarup Kr Ghosh and AnupamGhosh, “A Novel CT Image Segmentation Algorithm Using PCNN and Sobolev Gradient Methods in GPU Frameworks”; Pattern Analysis and Applications; Springer,23, 837–854; 2019; https://doi.org/10.1007/s10044-019-00837-9; (SCIE-IF- 2.58)
11. Biswajit Biswas, Swarup Kr Ghosh, Moumita Hore, Anupam Ghosh; “SIFT Based Visual Tracking using Optical Flow and Belief Propagation Algorithm”, The Computer Journal; 2020; DOI: https://doi.org/10.1093/comjnl/bxz155;(SCIE-IF 1.49)
12. Biswajit Biswas, Swarup Kr Ghosh, Anupam Ghosh, Chandan Chakraborty and Pabitra Mitra; “Target Object Recognition Using Multiresolution SVD and Guided Filter with Convolutional Neural Network”; International Journal of Pattern Recognition and Artificial Intelligence; 2020; DOI:https://10.1142/s0218001420520084(SCIE-IF 1.37)
13. Anjan Kumar Payra, AnupamGhosh;“Identifying Essential Proteins using Modified-Monkey Algorithm (MMA)”; Computational Biology and Chemistry, 2020 (Accepted) (SCI-IF 2.87); DOI: https://doi.org/10.1016/j.compbiolchem.2020.107324
14. Swarup Kr Ghosh, Anupam Ghosh; “Classification of Gene Expression Patterns using a novel Type-2 Fuzzy Multigranulation based SVM Model for the recognition of Cancer mediating biomarkers”; Neural Computing and Applications; 2020; https://doi.org/10.1007/s00521-020-05241-7 ; (SCIE-IF 5.606)
15. Swarup Kr Ghosh, Biswajit Biswas, Anupam Ghosh; “Development of Intuitionistic Fuzzy Special Embedded Convolutional Neural Network for Mammography Enhancement"; Computational Intelligence; 2020; https://doi.org/10.1111/coin.12391 ; (SCIE-IF 2.330)
16. Swarup Kr Ghosh, Anupam Ghosh; “A Novel Human Diabetes Biomarker Recognition Approach Using Fuzzy Rough Multigranulation Nearest Neighbour Classifier Model”. Interdisciplinary Sciences: Computational Life Sciences (2020). https://doi.org/10.1007/s12539-020-00391-7 (SCIE-IF 2.23)
17. Swarup Kr Ghosh, Anirban Mitra, Anupam Ghosh; “A novel intuitionistic fuzzy soft set entrenched mammogram segmentation under Multigranulation approximation for breast cancer detection in early stages”. Expert Systems With Applications (2020). https://doi.org/10.1016/j.eswa.2020.114329 (SCIE-IF 6.9)
18. Sujay Saha, Saikat Bandopadhyay, Anupam Ghosh; “Identifying the degree of genetic interactions using Restricted Boltzmann Machine—A study on colorectal cancer”. IET Systems Biology (2020). http://dx.doi.org/10.1049/syb2.12009 (SCIE-IF 1.00)
19. S. K. Ghosh, A. Ghosh; “A novel intuitionistic fuzzy soft set based colonogram enhancement for polyps localization” International Journal Imaging System Technololy;1–17; 2021 DOI: https://doi.org/10.1002/ima.22551; (SCIE-IF: 2.00)
20. Anjan Kumar Payra, Banani Saha, Anupam Ghosh, “Ortho_Sim_Loc: Essential protein prediction using orthology and priority-based similarity approach”, Computational Biology and Chemistry, 2021; DOI: https://doi.org/10.1016/j.compbiolchem.2021.107503; (SCIE-IF: 2.87)
21. S. K. Ghosh, A. Ghosh; “A novel retinal image segmentation using rSVM boosted convolutional neural network for exudates detection”, Biomedical Signal Processing and Control; 2021; DOI: https://doi.org/10.1016/j.bspc.2021.102785, (SCIE-IF: 3.88)
22. S. K. Ghosh, A. Ghosh; “ENResNet: A novel Residual Neural Network for Chest X-ray enhancement based COVID-19 detection”, Biomedical Signal Processing and Control; 2021; DOI: https://doi.org/10.1016/j.bspc.2021.103286. (SCIE-IF:3.880)
23. A. Acharya, A. Aryan, S. Saha, A.Ghosh; Impact of Covid-19 on the human personality: An analysis based on document modeling using machine learning tools; The Computer Journal, bxab207, https://doi.org/10.1093/comjnl/bxab207 (SCIE-IF: 1.494)
24. Swarup Kr Ghosh, Anupam Ghosh; “A novel Hyperbolic Intuitionistic Fuzzy Divergence Measure based mammogram enhancement for visual elucidation of breast lesions”, Biomedical Signal Processing and Control; 2022; https://doi.org/10.1016/j.bspc.2022.103586; (SCIE-IF: 3.880)
25. Biswajit Biswas, Swarup Kr Ghosh, Anupam Ghosh, "A novel intuitionistic-near fuzzy sets based image fusion approach: Development on hybrid MPI+OpenMP parallel model", Multimedia Tools and Applications, (Accepted); 2022 (SCIE-IF: 2.757)
26. Swarup Kr Ghosh, Anupam Ghosh, Siddhartha Bhattacharyya; Recognition of Cancer Mediating Biomarkers using Rough Approximations enabled Intuitionistic Fuzzy Soft Sets based Similarity Measure; Applied Soft Computing Journal https://doi.org/10.1016/j.asoc.2022.109052 https://doi.org/10.1016/j.asoc.2022.109052
27. Anjan Kumar Payra, Banani Saha, Anupam Ghosh; MM-CCNB: Essential protein prediction using MAX-MIN strategies and Compartment of Common Neighboring Approach ; Computer Methods and Programs in Biomedicine https://doi.org/10.1016/j.cmpb.2022.107247 https://doi.org/10.1016/j.cmpb.2022.107247
28. A. Mukherjee, A. Ghosh; Predictive Framework for Crime Data Analysis using a Hybrid Logistic Regression — Support Vector Machine Based Ensemble Classifier Powered by CART (LR-SVMCART ) Multimedia Tools and Applications 10.1007/s11042-023-14760-z 10.1007/s11042-023-14760-z
29. S. S. khan, D. Sengupta, A. Ghosh, A.Choudhury; MTCNN++: A CNN based Face Detection Algorithm Inspired by MTCNN ;The Visual Computer
30. Anjan Kumar Payra, Banani Saha, Anupam Ghosh, “MEM-FET: Essential protein prediction using membership feature and machine learning approach”, PROTEINS, Structure, Function, Bioinformatics; https://doi.org/10.1002/prot.26577 (SCI, Impact factor: 2.9)
31. Subir Hazra, Anupam Ghosh; “An optimized cluster validity index for identification of cancer mediating genes”; Multimedia Tools and Applications, SCIE [IF: 3.0] https://doi.org/10.1007/s11042-024-20105-1
32. Sougata Sheet, Anupam Ghosh, Ranjan Ghosh, Amlan Chakrabarti; “Recognition of Cancer Mediating Genes using the Novel Restricted Boltzmann Machines”; Wireless Personal Communications; SCIE [IF: 1.9] https://doi.org/10.1007/s11277-024-11600-7
33. Anirban Akhand, Hongbin Liu, Anupam Ghosh, Abhra Chanda, Rajarshi Dasgupta, Shillpi Mishrra, Peter I. Macreadie; “Application of structural equation modelling to study complex “blue carbon” cycling in mangrove ecosystems” Marine Pollution Bulletin; Volume 209, Part B, December 2024, 117290; SCI [IF: 5.3] https://doi.org/10.1016/j.marpolbul.2024.117290

ESCI indexed Journal Papers:Web of Science [no=8]
1. SujaySaha, AnupamGhosh, DibyenduBikash Seal and KashiNathDey, "An Improved Fuzzy Based Missing Value Estimation In DNA Microarray Validated By Gene Ranking", Advances in Fuzzy Systems, 2016.; DOI: http://dx.doi.org/10.1155/2016/6134736
2. Swarup Kr Ghosh, AnupamGhosh, AmlanChakraborty, “VEA: Vessel extraction algorithm by active contour model and a novel wavelet analyzer for diabetic retinopathy detection”, International Journal of Image and Graphics, Vol: 18, No: 2, 2018, DOI: http://10.1142/S0219467818500080
3. SujaySaha, AnupamGhosh, SaikatBandopadhyay, KashiNathDey "Missing Value Imputation In DNA Microarray Gene Expression Data: A Comparative Study Of An Improved Collaborative Filtering Method With Decision Tree Based Approach", International Journal of Computational Science and Engineering, vol: 18, No: 2, 2019; DOI: https://10.1504/IJCSE.2019.097954
4. ParthoMallick, Priyanka Seth &AnupamGhosh “Entropy-based fuzzy hybrid framework for gene prediction network – an application to identify and rank the biomarkers for human lung adenocarcinoma”, vol:41, issue: 1, International Journal of Computers and Applications, VOL: 41, NO. 1, pp:62–77; 2018, DOI: https://doi.org/10.1080/1206212X.2018.1508865
5. Swarup Kr Ghosh, Biswajit Biswas, Anupam Ghosh; “A novel stacked sparse denoising autoencoder for mammography restoration to visual interpretation of breast lesion.” Evolutionary Intelligence (2020); DOI:https://10.1007/s12065-019-00344-0
6. S.K Ghosh, S. Dey, A Ghosh, “Knowledge Generation Using Sentiment Classification Involving Machine Learning on E-Commerce”, International Journal of Business Analytics (IJBAN): IGI Global, Vol: 6, pp: 74—90, 2019; DOI: https://10.4018/IJBAN.2019040104
7. Sougata Sheet, Ranjan Ghosh, Anupam Ghosh, “Recognition of cancer mediating genes using MLP-SDAE model”, Systems and Soft Computing, Volume 6,2024,ISSN 2772-9419, https://doi.org/10.1016/j.sasc.2024.200079
8. Mousumi Bhattacharyya, Sadip Midya, Asmita Roy, Bhabani P. Sinha, Anupam Ghosh, John C. Kostelnick, Jonathan B. Thayn, Sri Jyothi Chinta, Koushik Sinha, “Designing Optimal Middle-Mile Network Architecture for Smart Farming Applications in Rural Areas”, Innovations in systems and software engineering, [IF: 1.2]; https://doi.org/10.1007/s11334-024-00574-1
Scopus, UGC and other journal Papers:[no=18]
1. Amit Paul, AnupamGhosh, and Jaya Sil, “Dimension reduction of gene expression data using redundancy removal algorithm-data compression approach”, International Journal of Bioinformatics, vol. 1, pp. 19-30, 2008.
2. SujaySaha, DibyenduBikash Seal, AnupamGhosh, KashiNathDey, "A Novel Gene Ranking Method Using Wilcoxon Rank Sum Test and Genetic Algorithm", International Journal of Bioinformatics Research and Applications, vol. 12, pp. 263-278, 2016; DOI: https://10.1504/IJBRA.2016.078236
3.Sougata Sheet, AnupamGhosh and SudhinduBikashMandal,“Identification of influential biomarkers for human leukemia - An Artificial Neural Network approach”, International Journal of Soft Computing & Artificial Intelligence, vol. 4, no. 1, pp: 27-31, 2016, DOI: http://IJSCAI-IRAJ-DOI-4618; ISSN: 2321-404X
4. PrithaKundu, Tania Chakraborty, OyndrilaMajumder, KritikaKumari, AnupamGhosh "QLEGAND –GA based hybrid machine learning algorithm for identifying the cancer mediating gene set”, International Journal of Engineering, Technology, Science and Research, vol. 4, no. 1, pp. 183-191, 2017.
5. SubirHazra, Samir Kumar Sett, AnupamGhosh, AmlanChakraborty, "Identifying Cancer Mediating Biomarkers using Partition based Indexing Algorithm(PIA) – A Study on Lung Adenocarcinoma", International Journal of Innovations & Advancement in Computer Science, Vol 6, Issue 1, pp: 118-124,2017.
6. Rebeka Mukherjee, SeemantiGhosh, ApekshaPriya, ShikhaKumari, AnupamGhosh "Selection of Top k Biomarkers for Human Lung Adenocarcinoma using “FUGENE”- A Hybrid Machine Learning Approach”, International Journal of Computer & Mathematical Sciences, Volume 6, Issue 5, Pp:179-185, May, 2017.
7. Nimisha Jain, Kumar Rahul, IpshitaKhamaru, Anish Kumar Jha, AnupamGhosh "Hand Written Digit Recognition using Convolutional Neural Network (CNN)”, International Journal of Innovations & Advancement in Computer Science, Volume 6, Issue 5, Pp:260-266, May, 2017.
8. Jit Gupta, IndranilPradhan, AnupamGhosh, “Classification of Gene Expression Data using Gaussian Restricted Boltzmann Machine (GRBM) – An Application on Human Lung Adenocarcinoma data”, International Journal on Recent and Innovation Trends in Computing and Communication, Volume 5, Issue 6, Pp:56-61, June, 2017.
9. S. Sheet, A. Ghosh, S. B. Mandal, “Selection of Gene Mediating Human Leukemia, using Deep Learning Approach”, Open J. Oncol. Hematol. vol. 2, no. 1, pp: 001-009, 2017.
10. Sougata Sheet, AnupamGhosh, SudhinduBikashMandal, “Cancer Mediating Genes Recognition using Multilayer Perceptron Model- An Application on Human Leukemia”, Advances in Science, Technology and Engineering Systems, vol. 3, no. 2, pp. 8-20, 2018. DOI: http://10.25046/aj030202
11. RajkumarPatra, AnupamGhosh, “Influential biomarkers identification for human acute myeloid leukemia using backpropagation learning algorithm”,International Journal of Pure and Applied Mathematics, Volume 119 No. 12, pp:12911-12921, 2018.
12. Samir Kumar Sett, SubirHazra, AnupamGhosh; A Fuzzy Clustering algorithm influenced by Validity Indices (FCVI) for recognizing the differentially expressed cancer mediating genes; Meta Gene; 2019; DOI: https://doi.org/10.1016/j.mgene.2019.100615.
13. Papiya Das, Rana Majumdar, Anupam Ghosh; Image based Visual Sentiment Analysis Applying SVM and Deep learning; International Journal of Recent Technology and Engineering (Accepted); 2019
14. Swarup Kr Ghosh, Biswajit Biswas, Anupam Ghosh; “A novel Approach of Retinal Image Enhancement using PSO System and Measure of Fuzziness”; Procedia Computer Science; Volume 167, Pages 1300-1311,2020;DOI: https://doi.org/10.1016/j.procs.2020.03.446.
15. Sougata Sheet, AnupamGhosh, RanjanGhosh, AmlanChakrabarti; “Identification of Cancer Mediating Biomarkers using Stacked Denoising Autoencoder Model - An Application on Human Lung Data”; Procedia Computer Science; Volume 167, Pages 686-695,2020;DOI: https://doi.org/10.1016/j.procs.2020.03.341.
16. Smarta Sangui, Tamim Iqbal, Piyush Chandra Chandra, Swarup Kr Ghosh, Anupam Ghosh; 3D MRI Segmentation using U-Net Architecture for the detection of Brain Tumor; Procedia Computer Science https://doi.org/10.1016/j.procs.2023.01.036. .
17. Anuraag Biswas, Swarup Kr Ghosh, Anupam Ghosh; Early Fire Detection and Alert System using Modified Inception-v3 under Deep Learning Framework ; Procedia Computer Science; https://doi.org/10.1016/j.procs.2023.01.200
18. Partho Mallick, Mourani Sinha, Jayanta Poray, Aiswaryya Banerjee, Souvik Sarkar, Anupam Ghosh, “Recognition of altered gene-gene interaction using BiLSTM in different stages of lung adenocarcinoma”, Procedia Computer Science, Volume 235, 2024, Pages 1213-1221, ISSN 1877-0509, https://doi.org/10.1016/j.procs.2024.04.115
Preprint
Surya Majumder, Saikat Bandopadhyay, Sujay Saha, Anupam Ghosh “A Fused Power Spectrum based Feature Selection to Identify Schizophrenia from EEG Signals using Deep Learning Models - An Experimental Study”; Preprint; 10.21203/rs.3.rs-5041124/v1
19. Rajkumar Patra, Sreoshee Dutta, Imon Kalyan Roy, Pubali Basak, Anupam Ghosh “Heart Disease Detection using Vision-Based Transformer Ensemble Models” Procedia Computer Science, Volume 258, 2025, Pages: 3554-3569; May, 2025; https://doi.org/10.1016/j.procs.2025.04.611

1. Rajat K. De and AnupamGhosh “Neuro-fuzzy methodology for selecting genes mediating lung cancer”, Proceedings of the 4th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2011), LNCS 6744, pp. 388–393, Moscow, Russia, June 26-30,2011.
2. AnupamGhosh, Rajat K. De, “A fuzzy entropy based approach for development of Gene Prediction Networks (GPNs): detecting altered dependency in carcinogenic state”, Proceedings of the ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics (ACM BCB), pp. 320-324, Chicago, USA, Aug 1-3,2011.
3. AnupamGhosh and Rajat K. De, “Gaussian Fuzzy Index (GFI) for cluster validation: Identification of high quality biologically enriched clusters of genes and selection of some possible genes mediating lung cancer” Proceedings of the 5th International Conference on Pattern Recognition and Machine Intelligence (PReMI 2013), LNCS 8251, pp. 680-687, Kolkata, India, December 10-14, 2013.
4. R RMajhi, S Chattopadhyay, S Chattopadhyay, A Ghosh, “Analysis of Electro-Cardiogram by Radar and DWT based Kurtosis Comparison”, Proceedings Michael Faraday IET International Summit: MFIIS-2015, pp. 621-625, Kolkata, India, September 12–13, 2015.
5. R RMajhi, S Chattopadhyay, S Chattopadhyay, A Ghosh, “Radar Assessment of Wavelet decomposition based Skewness of ECG Signals”, Proceedings Michael Faraday IET International Summit: MFIIS-2015, pp.626-630, Kolkata, India, September 12–13, 2015.
6. SujaySaha, AnupamGhosh, SaikatBandopadhyay and KashiNathDey, “An Improved Fuzzy Based Approach To Impute Missing Values In DNA Microarray Gene Expression Data With Collaborative Filtering”, Fifth Intl. Conference on Advances in Computing, Communications and Informatics (ICACCI), pp. 916-921, Jaipur, India, September 21-24, 2016.
7. SujaySaha, AnupamGhosh, SaikatBandopadhyay, KashiNathDey, “An Ensemble Based Missing Value Estimation In DNA Microarray Using Artificial Neural Network”, Second International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp. 279-284, Kolkata, September 23-25, 2016.
8. Sougata Sheet, AnupamGhosh and SudhinduBikashMandal,“Selection of Genes Mediating Human Leukemia, using Boltzmann Machine”, Proceedings of 10th ICACCT, vol 562. pp-83-90, Panipath, Haryana, India, November 18-20, 2016. DOI:https://doi.org/10.1007/978-981-10-4603-2_9
9. S. Sheet, A. Ghosh and S. B. Mandal, "Selection of genes mediating human leukemia, using an Artificial Neural Network approach, "Third International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB), Chennai, India, pp.210-214, February 27-28, 2017. DOI: 10.1109/AEEICB.2017.7972415
10. ParthoMallick, Priyanka Seth, AnupamGhosh and JayantaPoray. “A Lung Cancer Diagnostic Framework Using Gene Prediction Graph”, International Conference on Intelligent Communication and Computational Techniques (ICCT-2017),pp. 55-60, Jaipur, India, Dec 22-23, 2017.
11. Jit Gupta, Sayak Paul, AnupamGhosh, “A novel Transfer Learning based missing value imputation on discipline diverse real test datasets-A comparative study with different machine learning algorithms”, International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS2018), Kolkata, Feb 23-25, 2018.(Accepted & Presented)
12. Sougata Sheet, AnupamGhosh, AmlanChakrabarti and RanjanGhosh, “Cancer Mediating Biomarker Recognition using Restricted Boltzmann Machine - An Application on Human Leukemia”, ACSS 2018, Kolkata, Feb 9-11, 2018.
13. Anjan Kumar Payra, AnupamGhosh and PabitraMitra, “Controllability of network: Identification of Controller Genes in a gene-gene interaction network”, International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS2018), Kolkata, Feb 23-25, 2018
14. ParthoMallick, OindrilaGhosh, Priyanka Seth and AnupamGhosh, “An Optimized Machine Learning Approach influenced by Kohonen’s Self Organizing Map predicting Gene Dependency for Cancer Mediating Biomarkers”, International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS2018), 2018 (Accepted & Presented)
15. ParthoMallick, Priyanka Seth, AnupamGhosh, “Entropy based Prediction Graph for Gene Ranking (EPGGR) in a Fuzzy framework—An application to identify the biomarkers for human Lung adenocarcinoma Datasets”, International Conference on Inventive Computing Systems and Applications (ICICSA), Pattaya, Thailand, 2018 (Accepted & Presented)
16. S. Saha, S. Roy, A. Ghosh, K. N. Dey, “Gene-Gene Interaction Analysis: Correlation, Relative Entropy and Rough Set Theory Based Approach”. In: Rojas I., Ortuño F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2018, Spain. Lecture Notes in Computer Science, vol 10814, pp. 397 - 408., 2018 (Springer)
17. Anjan Kumar Payra, AnupamGhosh, “Mutual Information –The biomarker of essential gene predictions in Gene-Gene-Interaction of Lung Cancer”, Second International Conference on Computational Intelligence, Communications, and Business Analytics (CICBA-2018), 2018
18. SujaySaha, Priyojit Das, AnupamGhosh and KashiNathDey, “Ranking of cancer mediating genes: a novel approach using genetic algorithm in DNA microarray gene expression dataset”, International Conference on Advances in Computing and Data Sciences (ICACDS 2018), Uttarakhand, India, April 20 – 21, 2018
19. Priyojit Das, SujaySaha, AnupamGhosh and KashiNathDey, “Gene Ranking: A Novel Approach Using Multi-Objective Genetic Algorithm”, IEEE 7th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO 2018), Amity University, Noida, August 29 – 31, 2018
20. S.K. Ghosh, B. Biswas, A. Ghosh; “Restoration of Mammograms by Using Deep Convolutional”, International Conference on Computational Intelligence Data Mining 2018- Springer, July 2018 (Accepted& Presented)
21. ArjunSengupta, AnupamGhosh: “Mining Social Network Data for Predictive Personality Modelling using Machine Learning Technique”, ICCACCS-2018, Kolkata, 2018 (Accepted & Presented)
22. Sougata Sheet, AnupamGhosh, AmlanChakrabarti, RanjanGhosh, “Cancer Mediating Genes Recognition using Restricted Boltzmann Machine - An Application on Human Leukemia”, 6th International Conference on Advanced Computing, Networking, and Informatics (ICACNI 2018), (Accepted and Presented)
23. S.K. Ghosh, A. Ghosh; A novel Clustering based Gene Expression Pattern Analysis for Human Diabetes patients using Intuitionistic Fuzzy set and Multigranulation Rough set Model; SoCTA2019, NIT, Patna, (Accepted);
24. Sougata Sheet, Anupam Ghosh, Ranjan Ghosh and Amlan Chakrabarti;Identification of Cancer Mediating Biomarkers using Stacked Denoising Autoencoder Model - An Application on Human Lung Data; ICCIDS2019-PROCS, New Delhi, 2019 (Accepted & Presented)
25. Soujanya Ray, Anupam Ghosh; Centroid based hierarchy preserving clustering algorithm using Light House Scanning, GAIC2019, Kolkata, 2019 (Accepted& Presented)
26. S.K. Ghosh, B. Biswas, A. Ghosh “A novel Enhancement and Segmentation of Color Retinal Image based on Fuzzy Measure and Fuzzy Integral”; International Conference on Computational Intelligence in Pattern Recognition(CIPR 2019), (Accepted& Presented)
27. B. Biswas, S.K. Ghosh, A. Ghosh “A Robust Multi-label Fruit Classification based on Deep Convolution Neural Network” International Conference on Computational Intelligence in Pattern Recognition(CIPR 2019), (Accepted& Presented)
28. Swarup Kr Ghosh, Biswajit Biswas and Anupam Ghosh “A novel Color Image Enhancement using PSO System and Measure of Fuzziness: Application on Retinal Image” , ICAICR 2019 (Accepted)
29. Anupam Mukherjee and Anupam Ghosh, “Heterogeneous Decomposition of Predictive Modeling Approach on Crime Dataset Using Machine Learning”, ICIMSAT 2019, Siliguri (Accepted)
30. Sougata Sheet, Anupam Ghosh, Ranjan Ghosh and Amlan Chakrabarti “Recognition of Influential Biomarkers for Human Lung using Restricted Boltzmann Machine approach, Futuristic Trends in Networks and Computing Technologies (FTNCT-2019), Mohali (Accepted)
31. Swarup Kr Ghosh, Biswajit Biswas and Anupam Ghosh,“A novel Approach of Retinal Image Enhancement using PSOSystem and Measure of Fuzziness”, ICCIDS2019-PROCS, New Delhi, 2019 (Accepted& Presented)
32. Saikat Bandopadhyay, Srijan Nag, Sujay Saha and Anupam Ghosh; “Identification of Major Depressive Disorder: Using Significant Features of EEG Signals Obtained by Random Forest and ACO Methods”; 4th International Conference on Intelligent Systems, Metaheuristics & Swarm Intelligence; March 21-22, 2020, Thimphu, Kingdom of Bhutan.
33. Soumya Suvra Khan, Dr Rana Majumdar, Partha Pratim Maut, Anupam Ghosh and Ved Prakash Mishra; “Analysing and Applying Captured Object with Machine Learning Techniques”;International Conference on Computational Intelligence and Knowledge Economy (ICCIKE 2019) December 11-12, 2019; Amity University Dubai, UAE
34. P. Das, A. Ghosh and R. Majumdar, "Determining Attention Mechanism for Visual Sentiment Analysis of an Image using SVM Classifier in Deep learning based Architecture," 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2020, pp. 339-343, doi: 10.1109/ICRITO48877.2020.9197899. https://ieeexplore.ieee.org/document/9197899
35. B. Giri, N. S. Ghosh, R. Majumdar and A. Ghosh, "Predicting Diabetes Implementing Hybrid Approach," 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2020, pp. 388-391, doi: 10.1109/ICRITO48877.2020.9197971. https://ieeexplore.ieee.org/document/9197971
36. N. S. Ghosh, R. Majumdar, B. Giri and A. Ghosh, "Detection of Human Activity by Widget," 2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2020, pp. 1330-1334,doi:10.1109/ICRITO48877.2020.9197982. https://ieeexplore.ieee.org/document/9197982
37. Ajit Kumar; Rajkumar Patra; Anupam Ghosh; "Model Selection for Predicting Breast Cancer using Supervised Machine Learning Algorithms"; IEEE 1st International Conference for Convergence in Engineering (ICCE), 2020, pp. 320-324, doi: 10.1109/ICCE50343.2020.9290578
38. Subir Hazra, Amartya Roy, Anupam Ghosh, Identifying differentially expressed genes in various stages of Lung Cancer – an application of Association Rule Mining Model on Gene Expression Data; IEEE VLSIDCS 2022, Kolkata (Accepted)
39. T. Dey et al.; Name Entity Recognition on Covid-19 Dataset using Machine Learning algorithms International Conference on Machine Learning, Computer Systems and Security (MLCSS) Bhubaneswar, India, 2022
40. Subir Hazra , Amit Kumar Shaw, Palash Das, Anupam Ghosh; Gene Co expression analysis for identifying some regulatory genes in human lung cancer; IEEE International Conference of Electron Devices Society Kolkata Chapter (EDKCON); Kolkata, 2022
41. Mainak Kundu; Swarup Kr Ghosh; Souvik Pal; Anupam Ghosh, “Time series data analysis for Covid-19 prediction using machine learning algorithms based on geographic dataset”, AIP Conf. Proc. 2878, 020019 (2023); https://doi.org/10.1063/5.0171054
42. Bhattacharyya, M., Roy, A., Midya, S., Ghosh, A. (2024). A Spatiotemporal Comprehensive Graph-Based Learning for GIF Sentiment Analysis. In: Lin, F.M., Patel, A., Kesswani, N., Sambana, B. (eds) Accelerating Discoveries in Data Science and Artificial Intelligence I. ICDSAI 2023. Springer Proceedings in Mathematics & Statistics, vol 421. Springer, Cham. https://doi.org/10.1007/978-3-031-51167-7_31
43. Mishra, A. et al. (2024). Heart Disease Prediction by Machine Learning. In: Mandal, J.K., De, D. (eds) Machine Learning for Social Transformation. EAIT 2024. Lecture Notes in Networks and Systems, vol 1131. Springer, Singapore. https://doi.org/10.1007/978-981-97-7532-3_25
44. S. S. Khan, D. Sengupta, A. Ghosh and A. Chaudhuri, "Decoding Emotions: Facial Expression Recognition and Semantic Rating Prediction with Deep Learning," 2025 Devices for Integrated Circuit (DevIC), Kalyani, India, 2025, pp. 820-825, doi: 10.1109/DevIC63749.2025.11012558.

Books
Book-1. Book title: Machine Learning Techniques and Analytics for Cloud Security; Book Series: Advances in Learning Analytics for Intelligent Cloud-IoT Systems; Editors: Rajdeep Chakraborty, Anupam Ghosh, Jyostna Kumar Mandal; Publisher: Scrivener Publishing, WILEY, USA. indexed in Scopus and web of science,Dec,2021, ISBN: 9781119762256; DOI: 10.1002/9781119764113
Book-2 Title: Blockchain: Principles and Applications in IoT (1st ed.) Editors: R. Chakraborty, A. Ghosh, V. E. Balas, & A Elngar 2022 https://doi.org/10.1201/9781003203957; CRC
Book-3 Title: Convergence of Deep Learning in Cyber?IoT Systems and Security Editors: Rajdeep Chakraborty, Anupam Ghosh, Jyotsna Kumar Mandal, S. Balamurugan 2022; DOI:10.1002/9781119857686
Book-4: Title:.Rajdeep Chakraborty (Editor), Anupam Ghosh (Editor) , Jyotsna Kumar Mandal (Editor), Tanupriya Choudhury (Editor), Prasenjit Chatterjee (Editor)Smart Edge Computing: An Operation Research Perspective, ISBN: 978-1-786-30863-4, March 2024, Wiley-ISTE, 272 pages
Book-5: Title-Chandan Banerjee (Editor), Rajdeep Chakraborty (Editor), Anupam Ghosh (Editor), Ahmed A. Elngar (Editor), “Fog Computing for Intelligent Cloud IoT Systems”, ISBN: 978-1-394-17532-1, June 2024, Wiley; 464 pages
Book Chapters
1. AnupamGhosh and Rajat K. De, “Gaussian Fuzzy Index (GFI) for cluster validation: Identification of high quality biologically enriched clusters of genes and selection of some possible genes mediating lung cancer”, Machine Interpretation of Patterns: Image Analysis and Data Mining, R. K. De, D. P. Mandal, and A. Ghosh (Eds.), pp. 680-687, World Scientific, Singapore,2013.
2. Ray S., Ghosh A. (2020) Centroid-Based Hierarchy Preserving Clustering Algorithm Using Lighthouse Scanning. In: Mandal J., Mukhopadhyay S. (eds) Proceedings of the Global AI Congress 2019. Advances in Intelligent Systems and Computing, vol 1112. Springer, Singapore; 03 April 2020; DOI: https://doi.org/10.1007/978-981-15-2188-1_22
3. Mukherjee A., Ghosh A. (2020) Heterogeneous Decomposition of Predictive Modeling Approach on Crime Dataset Using Machine Learning. In: Dawn S., Balas V., Esposito A., Gope S. (eds) Intelligent Techniques and Applications in Science and Technology. ICIMSAT 2019. Learning and Analytics in Intelligent Systems, vol 12. Springer, Cham; 03 March 2020; DOI:https://doi.org/10.1007/978-3-030-42363-6_116
4. Ghosh S.K., Ghosh A. (2020) A Novel Clustering-Based Gene Expression Pattern Analysis for Human Diabetes Patients Using Intuitionistic Fuzzy Set and Multigranulation Rough Set Model. In: Pant M., Kumar Sharma T., Arya R., Sahana B., Zolfagharinia H. (eds) Soft Computing: Theories and Applications. Advances in Intelligent Systems and Computing, vol 1154. Springer, Singapore;30 June 2020; DOI: https://doi.org/10.1007/978-981-15-4032-5_88
5. Ghosh S.K., Biswas B., Ghosh A. (2020) Restoration of Mammograms by Using Deep Convolutional Denoising Auto-Encoders. In: Behera H., Nayak J., Naik B., Pelusi D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 990. Springer, Singapore; 18 August 2019; DOI:https://doi.org/10.1007/978-981-13-8676-3_38
6. Ghosh S.K., Biswas B., Ghosh A. (2020) A Novel Enhancement and Segmentation of Color Retinal Image Based on Fuzzy Measure and Fuzzy Integral. In: Das A., Nayak J., Naik B., Pati S., Pelusi D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 999. Springer, Singapore; 18 August 2019; DOI:https://doi.org/10.1007/978-981-13-9042-5_2
7. Biswas B., Ghosh S.K., Ghosh A. (2020) A Robust Multi-label Fruit Classification Based on Deep Convolution Neural Network. In: Das A., Nayak J., Naik B., Pati S., Pelusi D. (eds) Computational Intelligence in Pattern Recognition. Advances in Intelligent Systems and Computing, vol 999. Springer, Singapore; 18 August 2019; DOI:https://doi.org/10.1007/978-981-13-9042-5_10
8. Biswas B., Ghosh S.K., Ghosh A. (2020) DVAE: Deep Variational Auto-Encoders for Denoising Retinal Fundus Image. In: Bhattacharyya S., Konar D., Platos J., Kar C., Sharma K. (eds) Hybrid Machine Intelligence for Medical Image Analysis. Studies in Computational Intelligence, vol 841. Springer, Singapore; 09 August 2019; DOI: https://doi.org/10.1007/978-981-13-8930-6_10
9. Sengupta A., Ghosh A. (2020) Mining Social Network Data for Predictive Personality Modelling by Employing Machine Learning Techniques. In: Maharatna K., Kanjilal M., Konar S., Nandi S., Das K. (eds) Computational Advancement in Communication Circuits and Systems. Lecture Notes in Electrical Engineering, vol 575. Springer, Singapore; 26 July 2019; DOI:https://doi.org/10.1007/978-981-13-8687-9_11
10. Payra A.K., Ghosh A. (2019) Mutual Information –The Biomarker of Essential Gene Predictions in Gene-Gene-Interaction of Lung Cancer. In: Mandal J., Mukhopadhyay S., Dutta P., Dasgupta K. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2018. Communications in Computer and Information Science, vol 1031. Springer, Singapore; 26 June 2019; DOI:https://doi.org/10.1007/978-981-13-8581-0_19
11. Mallick P., Ghosh O., Seth P., Ghosh A. (2019) Kohonen’s Self-organizing Map Optimizing Prediction of Gene Dependency for Cancer Mediating Biomarkers. In: Abraham A., Dutta P., Mandal J., Bhattacharya A., Dutta S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 814. Springer, Singapore; 02 September 2018; DOI:https://doi.org/10.1007/978-981-13-1501-5_75
12. Payra A.K., Ghosh A., Mitra P. (2019) Controllability of Network: Identification of Controller Genes in a Gene–Gene Interaction Network. In: Abraham A., Dutta P., Mandal J., Bhattacharya A., Dutta S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 814. Springer, Singapore; 02 September 2018; DOI:https://doi.org/10.1007/978-981-13-1501-5_51
13. Gupta J., Paul S., Ghosh A. (2019) A Novel Transfer Learning-Based Missing Value Imputation on Discipline Diverse Real Test Datasets—A Comparative Study with Different Machine Learning Algorithms. In: Abraham A., Dutta P., Mandal J., Bhattacharya A., Dutta S. (eds) Emerging Technologies in Data Mining and Information Security. Advances in Intelligent Systems and Computing, vol 814. Springer, Singapore; 02 September 2018; DOI:https://doi.org/10.1007/978-981-13-1501-5_71
14. Saha S., Das P., Ghosh A., Dey K.N. (2018) Ranking of Cancer Mediating Genes: A Novel Approach Using Genetic Algorithm in DNA Microarray Gene Expression Dataset. In: Singh M., Gupta P., Tyagi V., Flusser J., Ören T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 906. Springer, Singapore; 26 October 2018; DOI:https://doi.org/10.1007/978-981-13-1813-9_13
15. Saha S., Roy S., Ghosh A., Dey K.N. (2018) Gene-Gene Interaction Analysis: Correlation, Relative Entropy and Rough Set Theory Based Approach. In: Rojas I., Ortuño F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2018. Lecture Notes in Computer Science, vol 10814. Springer, Cham; 28 March 2018; DOI:https://doi.org/10.1007/978-3-319-78759-6_36
16. Sheet S., Ghosh A., Mandal S.B. (2018) Selection of Genes Mediating Human Leukemia, Using Boltzmann Machine. In: Choudhary R., Mandal J., Bhattacharyya D. (eds) Advanced Computing and Communication Technologies. Advances in Intelligent Systems and Computing, vol 562. Springer, Singapore;25 October 2017; DOI:https://doi.org/10.1007/978-981-10-4603-2_9
17. Tribedi S., Biswas A., Ghosh S.K., Ghosh A. (2022) Machine Learning Based Anxiety Prediction of General Public from Tweets During COVID-19. In: Nayak J., Naik B., Abraham A. (eds) Understanding COVID-19: The Role of Computational Intelligence. Studies in Computational Intelligence, vol 963. Springer, Cham. https://doi.org/10.1007/978-3-030-74761-9_13
18. Ghosh S.K., Ghosh A. (2022) Correlation Based Cluster Validity Index for Recognition of Leukemia Mediating Biomarkers. In: Mandal J.K., De D. (eds) Advanced Techniques for IoT Applications. EAIT 2021. Lecture Notes in Networks and Systems, vol 292. Springer, Singapore. https://doi.org/10.1007/978-981-16-4435-1_8
19. Biswajit Biswas, Swarup Kr Ghosh and Anupam Ghosh, Automatic Image Segmentation by Using Ranking-SVM in Convolutional Neural Network: Application on Diabetic Fundus Images; Book: Deep Learning in Data Analytics: Recent Techniques, Practices and Applications (Springer); Published (August,2021); https://doi.org/10.1007/978-3-030-75855-4_5
20. Swarup Kr Ghosh, Biswajit Biswas and Anupam Ghosh, A Novel Noise Removal Technique Influenced by Deep Convolutional Autoencoders on Mammograms; Book: Deep Learning in Data Analytics: Recent Techniques, Practices and Applications (Springer); Published (August,2021); https://doi.org/10.1007/978-3-030-75855-4_2

21. Mukherjee, A., Ghosh, A.; Predictive Geospatial Crime Data Analysis and Their Association with Demographic Features Through Machine Learning Approaches ; 2022 https://doi.org/10.1007/978-981-19-3089-8_52
22 Bhattacharyya, M., Roy, A., Midya, S., Mitra, A., Ghosh, A., Roy, S; An Emoticon-Based Sentiment Aggregation on Metaverse Related Tweets . 2023 https://doi.org/10.1007/978-3-031-27762-7_34
23. Bhattacharyya, M., Mitra, A., Midya, S., Roy, A., Ghosh, A. (2023). A Hash Based Feature Extraction Strategy for Vector Size Reduction in Text Sentiment Analysis. In: Ramdane-Cherif, A., Singh, T.P., Tomar, R., Choudhury, T., Um, JS. (eds) Machine Intelligence and Data Science Applications. MIDAS 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1620-7_25
24. Patra, R., Dutta, D., Datta, M., Ghosh, A. (2023). Tumor-Type Detection Using Machine Learning Algorithm on Gene Expression Cancer RNA-Seq Dataset. In: Ramdane-Cherif, A., Singh, T.P., Tomar, R., Choudhury, T., Um, JS. (eds) Machine Intelligence and Data Science Applications. MIDAS 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1620-7_40
25. Kumar, R., Kumar, R., Sahu, R.K., Patra, R., Ghosh, A. (2023). Detection of Phishing Websites Using Machine Learning. In: Reddy, V.S., Prasad, V.K., Wang, J., Reddy, K.T.V. (eds) Soft Computing and Signal Processing. ICSCSP 2022. Smart Innovation, Systems and Technologies, vol 313. Springer, Singapore. https://doi.org/10.1007/978-981-19-8669-7_29
26. Keshari, S. et al. (2024). Visual Media Super-Resolution Using Super-Resolution Generative Adversarial Networks. In: Choudhury, T., Koley, B., Nath, A., Um, JS., Patidar, A.K. (eds) Geo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-031-53763-9_17
27. Bhattacharjee, M., Ghosh, A. (2024). An Efficient Image Compression Algorithm Using Neural Networks. In: Choudhury, T., Koley, B., Nath, A., Um, JS., Patidar, A.K. (eds) Geo-Environmental Hazards using AI-enabled Geospatial Techniques and Earth Observation Systems. Advances in Geographic Information Science. Springer, Cham. https://doi.org/10.1007/978-3-031-53763-9_15
28. Nath, A. et al. (2024). An MTCNN-Based Attendance Monitoring System Powered by Inception-ResNet-V1. In: Singh, T., Dutta, S., Vyas, S., Rocha, Á. (eds) Explainable AI for Education: Recent Trends and Challenges. Information Systems Engineering and Management, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-031-72410-7_16
29. Mishra, A. et al. (2025). Heart Disease Prediction by Machine Learning. In: Mandal, J.K., De, D. (eds) Machine Learning for Social Transformation. EAIT 2024. Lecture Notes in Networks and Systems, vol 1131. Springer, Singapore. https://doi.org/10.1007/978-981-97-7532-3_25
30. Mukherjee, A., Ghosh, A. (2025). Identification of Real or Fake Currency Using Semi-supervised Generative Adversarial Networks (SSGANs). In: Das, A.K., Nayak, J., Naik, B., Himabindu, M., Vimal, S., Pelusi, D. (eds) Computational Intelligence in Pattern Recognition. CIPR 2024. Lecture Notes in Networks and Systems, vol 1152. Springer, Singapore. https://doi.org/10.1007/978-981-97-8090-7_16
31. Chakraborty, D., Pradhan, S., Raj, S., Kundu, K., Ghosh, A. (2025). A Generative AI Based Work Assignment System. In: Dutta, S., Rocha, Á., Agarwal, A.K., Tiwari, R.G., Bhattacharya, A. (eds) Generative AI in FinTech: Revolutionizing Finance Through Intelligent Algorithms. Information Systems Engineering and Management, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-031-76957-3_2
32. Bhattacharjee, S., Maity, S., Saha, S., Ghosh, A. (2025). NexaMedic: Revolutionizing Medication Access and Healthcare Management Through Intelligent Assistance. In: Dutta, S., Rocha, Á., Agarwal, A.K., Tiwari, R.G., Bhattacharya, A. (eds) Generative AI in FinTech: Revolutionizing Finance Through Intelligent Algorithms. Information Systems Engineering and Management, vol 26. Springer, Cham. https://doi.org/10.1007/978-3-031-76957-3_3
33. Sett, S.K., Sett, A., Ghosh, A. (2025). Predicting the Spread of Covid-19 Using Machine as a Service (MaaS) Through Modified Apriori Algorithm. In: Chaki, R., Cortesi, A., DasGupta, S., Saha, S. (eds) Smart Systems and Wireless Communication. SSWC 2024. Smart Innovation, Systems and Technologies, vol 433. Springer, Singapore. https://doi.org/10.1007/978-981-96-1348-9_46
34. Roy, S., Dutta, M., Ghosh, A., Choudhury, T., Dutta, S. (2025). CNN-Based Model for Facial Expression Recognition Using FER 2013 Dataset. In: Dutta, S., Bhattacharya, A., Pham, V., Polkowski, Z. (eds) Data Mining and Information Security. ICDMIS 2024. Lecture Notes in Networks and Systems, vol 1389. Springer, Singapore. https://doi.org/10.1007/978-981-96-6066-7_28

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