Books 

Abhishek Das, Samit Bhanja, "Time Series Forecasting using Deep Learning" , ISBN: 978-3-330-04616-0 , LAMBERT Academic Publishing, U.K., 2020.

Abhishek Das, H. N. Khan, A. Chaudhuri, "Secret Variant Session Key Based Symmetric Cryptography" , ISBN: 978-613-9-96282-2, LAMBERT Academic Publishing, Germany, 2018.

Rajib Banerjee, Tanusree Chatterjee, Abhishek Das, Roseline O. Ogundokun (Eds.) "AIIoT Based Smart Traffic Management Systems" , Bentham Science, Singapore, 2026 (in Press).

Abhishek Das, Roseline O. Ogundokun, Baisakhi Das (Eds.), "AI for Medical Imaging and Precision Diagnostics: From Theory to Practice", Taylor & Francis/ CRC Press, USA, 2026 (in Press).

Book Chapters

Abhishek Das, Book Chapter on 'BioMedical Visualisation' in the Book Titled 'Information Visualisation' published by IEEE Computer Society, USA, ISBN: 978-0-7695-4476-2, 2011.

Abhishek Das, Book Chapter in the book Titled "Industrial Engineering, Management Science and Application” published by Springer, Berlin, ISBN: 9783662472002, 2015.

Pornpit Wongthongtham, Jaswinder Kaur, Vidyasagar Potdar, Abhishek Das, Book Chapter on "Big Data Challenges for Internet of Things (IoT) Paradigm " in the Book entitled "Issues and Challenges of Connected Environments: An Internet of Things Perspective'' Editor- Zaigham Mahmood, University of Derby, U.K. published by Springer International Publishing, Cham, pp-41-62, ISBN: 978-3-319-70101-1, 2018. https://doi.org/10.1007/978-3-319-70102-8_3 

Rajat Suvra Nandy, Rohit Kamal Chatterjee, Abhishek Das, "Segmentation of retinal blood vessel structure based on statistical distribution of the area of isolated objects" ,Book entitled " Recent Trends in Computational Intelligence Enabled Research", Academic Press, 2021, Pages 263-278, ISBN 9780128228449, https://doi.org/10.1016/B978-0-12-822844-9.00004-9

Shukla Mondal, Kaniz Fatima Mian, Abhishek Das, "Deep learning-based diabetic retinopathy detection for multiclass imbalanced data," Book entitled "Recent Trends in Computational Intelligence Enabled Research,"  Academic Press, 2021, Pages 307-316, ISBN 9780128228449, https://doi.org/10.1016/B978-0-12-822844-9.00003-7.

Mehboob Zahedi, Samit Bhanja, Abhishek Das "Novel Machine Learning Techniques for Diabetes Prediction", Book Entitled "Intelligent Human Centered Computing "Part of the Springer Tracts in Human-Centered Computing book series (STHCC),  2023  https://doi.org/10.1007/978-981-99-3478-2_24 

Mehboob Zahedi, Md Iqbal, Samit Bhanja, Roseline O. Ogundokun, Abhishek Das, "Innovative intelligent systems and applications: A Swarm intelligence perspective." In Recent Trends in Swarm Intelligence Enabled Research for Engineering Applications, pp. 41-87. Academic Press (Elsevier), 2024 https://doi.org/10.1016/B978-0-443-15533-8.00001-1 

Md Iqbal, Roseline O. Ogundokun, Samit Bhanja, Souvik Sengupta, Abhishek Das, " Machine Learning for Dementia and Alzheimer’s Disease Prediction", Lect. Notes in Networks, Syst., Machine Learning for Social Transformation Springer Nature, 2024. https://doi.org/10.1007/978-981-97-7532-3_21  

Sandipan Basu, Samit Bhanja, Abhishek Das, " Innovation for Inclusion - Emerging Technologies for People with Disabilities", in the Book entitled " Advances in HealthCare using Machine Learning", CRC Press, 2025 https://www.taylorfrancis.com/chapters/edit/10.1201/9781003531050-10/innovation-inclusion-emerging-technologies-people-disabilities-sandipan-basu-samit-bhanja-abhishek-das 

Imama Ajmi, Abhishek Das, " "Medical Data Privacy Using Federated Learning: Society 5.0" in the Book entitled "Intelligent Human-Centered Computing", Springer Nature, 2025  https://doi.org/10.1007/978-981-96-1761-6_36 

Saiyed Umer, Abhishek Das, "An Innovative Obstacle Detection Smart System for Robot Navigation in Healthcare Industry" in the book "Combining Visual Intelligence and Federated Learning in Smart Healthcare", IGI Global, 2026 https://www.igi-global.com/chapter/an-innovative-obstacle-detection-smart-system-for-robot-navigation-in-healthcare-industry/388145 

Mehboob Zahedi, Abhishek Das "5W+1H Automated Testing in Healthcare: A Case Study" in the book "Combining Visual Intelligence and Federated Learning in Smart Healthcare", IGI Global, 2026 https://www.igi-global.com/chapter/5w1h-automated-testing-in-healthcare/388143 

Sandipan Basu, Samit Bhanja, and Abhishek Das, “Sustainable future with IoT: Applications, obstacles, and strategies,” in  the Book "Smart IoT for Sustainable Development", 1st ed., Chapman and Hall/CRC, Taylor & Francis, 2025,  https://doi.org/10.1201/9781003539629 

International Journals

2026

1. Sandipan Basu, Samit Bhanja, Abhishek Das "Leveraging machine learning for crop production estimation in heterogeneous Indian landscapes ", SN Computer Science, Springer Nature, (Scopus), 2025 (Accepted)

2. Sandipan Basu, Samit Bhanja, Abhishek Das "An Efficient and Sustainable Data Retention Algorithm", Recent Advances in Computer Science and Communications, Journal of The Institution of Engineers (India): Series B, Springer (Scopus), 2025 ( Comm.)

3. Rasidul Karim, Debashis De, Abhishek Das "IFOLP: IoT-Fog-Cloud based framework for Forest Fire Occurrence Level Prediction and Forecasting using MCDM-based TOPSIS method" Scientific Reports, I.F.-3.9, 2025 ( Comm.)

4. Imama Ajmi, Abhishek Das "Lung Cancer Detection using Deep Learning", Journal of The Institution of Engineers (India): Series B, Springer (Scopus), 2025 (Comm.)

5. Md Iqbal, K.L. Hassan, Abhishek Das, "(MHML) Mental Health Classification Using Machine learning and Data Fusion for the detection of Alzheimer's and Parkinson's disease", Bentham Science (Scopus) 2025 (Comm.)

6. Asmaul Hassan, Abhishek Das "Data-Driven Methods for Credit Card Fraud Detection Using Machine Learning", Journal of The Institution of Engineers (India): Series B, Springer (Scopus), 2025 (Comm.)

7. 
   

2025

1. Segun Adebayo, Roseline Ogundokun, Abhishek Das et al "Computer Vision and Control Algorithm for Sustainable and Precision Agriculture", SN Computer Science, 6, 362, 2025, Springer Nature, Scopus Indexed https://doi.org/10.1007/s42979-025-03882-w 

2. Sanjoy Mondal, Abhishek Das "Energy-Aware Privacy-Preserving IoMT Framework for Consumer Electronics: A Federated Learning Approach to Remote Healthcare" IEEE Transactions on Consumer Electronics (TCE), Impact Factor- 10.9 , 2025 https://doi.org/10.1109/TCE.2025.3593928

3. Sanjoy Mondal, Abhishek Das "Tackling Heterogeneity in Intelligent Internet of Medical Things Applications through Federated Transformer Regularization", IEEE Access, I.F.-3.4, 2025 https://doi.org/10.1109/ACCESS.2025.3603596 

4. Vijay Mahadeo Mane, Chin-Shiuh Shieh etal Abhishek Das, "High-Efficiency Fabric Drying Using the Automatic Cloth Drying Tube Machine: A Novel Approach", Recent Advances in Computer Science and Communications, Bentham Science (Scopus), 2025 https://www.benthamscience.com/article/149871   

2024

1. Rasidul Karim, Mehboob Zahedi, Debashis De, Abhishek Das "MKFF: Mid-point K-means Based Clustering Approach using Wireless Sensor Networks in Forest Fire Prediction", Microsystem Technologies, Springer Nature, (SCI Indexed, I.F.- 2.276 ) , 2024 https://doi.org/10.1007/s00542-023-05578-8  

2. Samit Bhanja, Abhishek Das "An Air Quality Forecasting Method using Fuzzy Time Series with Butterfly Optimization Algorithm", Microsystem Technologies, Springer Nature, (SCI Indexed, I.F.- 2.276 ) , 2024 https://doi.org/10.1007/s00542-023-05591-x  

3. Souvik Sengupta, Imama Ajmi, Abhishek Das"Optimizing Dosage in Linear Accelerator based on Predictive Analysis of Radiation Induced Skin Toxicity using Machine Learning Techniques" Microsystem Technologies, Springer Nature, (SCI Indexed, I.F.- 2.276 ) , 2024 https://doi.org/10.1007/s00542-024-05676-1  

4. Samit Bhanja, Banani Ghose, Abhishek Das "Multi-Step-Ahead Time Series Forecasting using Deep Learning and Fuzzy Time Series-based Error Correction Method" , Journal of Universal Computer Science (J.UCS) Scopus Indexed, 2024 https://doi.org/10.3897/jucs.114357 

5.   Samit Bhanja, Santanu Metia and Abhishek Das, "A Black Swan Events based Hybrid Model for Indian Stock Markets' Trends Prediction" , Innovations in Systems and Software Engineering (a NASA Journal) Springer Nature, Emerging SCI, I.F.-1.02 , 2024 https://doi.org/10.1007/s11334-021-00428-0

2023

1. Samit Bhanja and Abhishek Das “A Smart City Air Quality Data Imputation Method using Markov Weights-Based Fuzzy Transfer Learning” IETE Journal of Research, Taylor & Francis, (SCI Indexed I.F.- 2.33 ), 2023 https://doi.org/10.1080/03772063.2023.2186500 

2. Mehboob Zahedi and Abhishek Das, “UN Sustainable Development Goals: Cybernetics as a Goal directed Platform”, Third Concept, Vol. 36 No. 432 pp 116-120, ISSN 0970-7247 , Feb 2023 (UGC Care Journal ).

3. H. N. Khan, Abhishek Das, A. Chaudhuri, "Unique Video Encryption Technique Intended for Smart City Application" IETE Journal of Research, Taylor & Francis, (SCI Indexed I.F.- 2.33 ), 2023 https://doi.org/10.1080/03772063.2023.2190543 

4. Sandipan Roy, Samit Bhanja, Abhishek Das, "AndyWar: A Intelligent Android Malware Detection using Machine Learning",  Innovations in Systems and Software Engineering, (A NASA Journal), Springer Nature, (Emerging SCI, I.F.-1.20 ), 2023 https://doi.org/10.1007/s11334-023-00530-5 

5. Sanjoy Mondal, Abhishek Das, "Quality Aware Cost Efficient Reward mechanism in Mobile Crowdsensing System with Uncertainty Constraints", Microsystem Technologies, Springer Nature, (SCI Indexed, I.F.- 2.276 ) , 2023  https://doi.org/10.1007/s00542-023-05495-w 

6. Rajat Nandy, Rohit Kamal Chatterjee, Abhishek Das, "Fundus Vessel Structure Segmentation Based on Bel-Hat Transformation", Microsystem Technologies, Springer Nature, (SCI Indexed, I.F.- 2.276 ) , 2023 https://doi.org/10.1007/s00542-023-05552-4  

7. Mehboob Zahedi, Abhishek Das, "Cybernetics: A Transformative Platform in Achieving G20 SDS" , MET Management Review, ISSN no. 2394-4013, Vol 10 No. 2, pp- 38-43, July 2023

8. M. Zahedi, M. D. Jamal, Abhishek Das, "Human Centric Computing Applications for Laptop Price Prediction", American Journal of Advanced Computing, Vol 2, Issue 1, pp-1-7, 2023   https://doi.org/10.15864/ajac.21021 

2022

1.   Samit Bhanja, Santanu Metia and Abhishek Das, "A Hybrid Neuro-Fuzzy Prediction System with Butterfly Optimization Algorithm for PM2.5 Forecasting" Microsystem Technologies, Springer Nature, (SCI Indexed I.F.- 2.276 ) , 2022 https://doi.org/10.1007/s00542-022-05252-5

2.  Sanjoy Mondal and Abhishek Das, "Energy efficient and secure healthcare data transmission in the Internet of Medical Things Network" Microsystem Technologies, Springer Nature, (SCI Indexed I.F.- 2.276 ) pp 1-13 , 2022 https://doi.org/10.1007/s00542-022-05398-2 

3.   Sanjoy Mondal, Abhishek Das et.al, "Participant selection algorithms for large-scale mobile crowd sensing environment" Microsystem Technologies, Springer Nature, (SCI Indexed I.F.- 2.276 ) , 2022 https://doi.org/10.1007/s00542-022-05271-2

2021

1.    Samit Bhanja and Abhishek Das, "A hybrid deep learning model for air quality time series prediction." Indonesian Journal of Electrical Engineering and Computer Science vol. 22, no. 3 pp 1611-1618, 2021 https://doi.org/10.11591/ijeecs.v22.i3.pp1611-1618  ( Scopus Indexed) 

2.    Samit Bhanja and Abhishek Das "Deep Neural Network for Multivariate Time-Series Forecasting" Advances in Intelligent Systems and Computing, vol 1255. Springer, Singapore. 2021 https://doi.org/10.1007/978-981-15-7834-2_25 ( Scopus Indexed)

3.        Samit Bhanja and Abhishek Das “Electrical Power Demand Forecasting of Smart Buildings: A Deep Learning Approach.” Lecture Notes on Data Engineering and Communications Technologies, vol 62. pp-71-82, Springer, 2021 Singapore. https://doi.org/10.1007/978-981-33-4968-1_6 ( Scopus Indexed)

4.      Ali D., Tiwari N., Das B., Bhanja S., Abhishek Das Deep Learning Approaches to Improve Effectiveness and Efficiency for Time Series Prediction. Lecture Notes on Data Engineering and Communications Technologies, vol 62. Springer, Singapore,2021 https://doi.org/10.1007/978-981-33-4968-1_20 ( Scopus Indexed).

5.     Ananya G., Priyanjali D., Baisakhi D., Abhishek Das  Secure Blockchain: Assessing Specific Security Threats. Lecture Notes on Data Engineering and Communications Technologies, vol 62. Springer, Singapore, 2021 https://doi.org/10.1007/978-981-33-4968-1_59 ( Scopus Indexed)

6.        Ray P.P., Bhargavi, Das B., Abhishek Das IoT-Blockchain Integration: The Way Ahead. Lecture Notes on Data Engineering and Communications Technologies, vol 62. Springer, Singapore, 2021 https://doi.org/10.1007/978-981-33-4968-1_58 ( Scopus Indexed)

2020

1.       H. N. Khan, Abhishek Das, A. Chaudhuri, "An Ultra Robust Session Key Based Image Cryptography", Microsystem Technologies, Springer Nature, Vol-26 No.-7, pp 2193-2201, 2020, (SCI Indexed I.F.- 2.276)  https://doi.org/10.1007/s00542-019-04518-9

2.       Rajat Suvra Nandy , Rohit Kamal Chatterjee, Abhishek Das, “Segmentation of Blood Vessel Structure from the Retinal Image using Neighborhood Adaptive Line Structuring Element ”, Indian Medical Journal, ISSN : 0091-5871, vol-114, No.-10, pp- 6-13 (index Medicus PubMed), Oct 2020.

3.       Rajat Suvra Nandy, Rohit Kamal Chatterjee, Abhishek Das, "Segmentation of Blood Vessels from Fundus Image Using Scaled Grid" Communications in Computer and Information Science, vol 1240. Springer, Singapore,2020 https://link.springer.com/chapter/10.1007%2F978-981-15-6315-7_18 ( Scopus Indexed)

4.    Shukla Mondal, Kaniz Fatima Mian and Abhishek Das*, “An Enhanced Artificial Intelligence-Based Model for Automatic Detection of Level of Severity in Diabetic Retinopathy”, Indian Medical Journal, ISSN : 0091-5871, vol-114, No.-10, pp-14-22 (index Medicus PubMed), Oct 2020.

5.    Sk. M. Haque, Abhishek Das, Rukhsana, "Carbon Footprint Reduction Instrument", Reference Module in Materials Science and Materials Engineering, Elsevier, 2020, ISBN 9780128035818, vol. 3, pp. 300–311 http://dx.doi.org/10.1016/B978-0-12-803581-8.11042-2

2019

1.      Samit Bhanja and Abhishek Das, "Deep Learning-based Integrated Stacked Model for the Stock Market Prediction", International Journal of Engineering and Advanced Technology(IJEAT) ISSN: 2249 – 8958, Volume-9 Issue-1, 2019, (Scopus Indexed). 10.35940/ijeat.A1823.109119  

2.         Abhishek Das, Rukhsana, Paramita Chatterjee, "Green Manufacturing: Progress and Future Prospect", Reference Module in Materials Science and Materials Engineering, Elsevier, 2019, ISBN 9780128035818, vol. 3, pp. 501-512 https://doi.org/10.1016/B978-0-12-803581-8.11007-0

2018

1.        S. Bhanja, Abhishek Das, "Impact of Data Normalization on Deep Neural Network for Time Series Forecasting" arXiv preprint arXiv:1812.05519, 2018

2011-2017

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, “A Novel Analysis of Clinical Data and Image Processing Algorithms in Detection of Cervical Cancer” Springer LNEE,  Berlin ISSN: 1876-1100, vol. 349 pp 1091-1098, 2015.  

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, “Clinical significance of automatic segmentation algorithms in detection of cervical cancer”, Indian Medical Journal, ISSN : 0091-5871, vol-109, No.-2, pp-56-60 (index medicus PubMed), 2015. 

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, “A Novel Illumination Correction and Intensity Normalization Method on Cervigrams in the Early Detection of Uterine Cervical Cancer” ARPN Journal (Scopus Indexed I.F.- 0.3) Vol.-10 No.15, pp-6376-6380 , ISSN- 1819-6608, 2015.

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, “Q-Metrics for Early Detection of Cervical Cancer” Journal of Image Processing & Pattern Recognition Progress ISSN 2394-1995 Vol 1 pp 32-36, 2014.

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, "Early Detection of Cervical Cancer using novel segmentation algorithms” Invertis Journal of Science & Technology, ISSN 0973-8940, Vol. 7 No. 2 pp 1-5, 2014. 

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, "Probabilistic Segmentation Methods for Early Detection of Uterine Cervical Cancer” Journal of Applied Information Science, ISSN 2321-6115, vol 11 pp 28-31,  2013.

Abhishek Das, Antara Choudhury, “Image Processing Techniques for Detection of Cervical Interepithelial Neoplasia: A Survey”, Indian Medical Journal, ISSN : 0091-5871, vol-111, No.-8, pp-4-9 (index medicus PubMed), 2017. 

Oindrila Ghosh, Abhishek Das, "Internet of Things Data Semantics", Journal of Web Engineering & Technology. vol-4, No.-2, pp-15–21, 2017. 

Dipayan Ghosh, Abhishek Das, "Information Fusion based IoT Semantic Data", Research & Reviews: A Journal of Embedded System & Applications. Vol-5, No.-2, 2017. 

Diptanu Basak, Abhishek Das, “Visual Cryptography Using Novel Algorithms”, Journal of Artificial Intelligence Research & Advances. Vol-4 No.-3, pp-1–10, 2017.

Abhishek Das, “A Novel Segmentation method of Cervical Cancer affected Surface Tissues based on Superpixels”, “Journal of Image Processing & Pattern Recognition Progress”, ISSN: 2394-1995, Volume 4, Issue 3, pp- 1-7, 2017.

Md Iqbal, Anjana Bhattacharjee, Zafar Sarif, Dipankar Das and Abhishek Das, "Mental Health Monitoring in Higher Education Using Machine Learning and Computer Vision," 2025 6th International Conference on Big Data Analytics and Practices (IBDAP), Chiang Mai, Thailand, 2025, pp. 70-74, doi: 10.1109/IBDAP65587.2025.11145837. https://ieeexplore.ieee.org/document/11145837  

International Conferences abroad (outside India)

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, "Preprocessing for automatic detection of Cervical Cancer" 15th International Conference on Information Visualisation, University of London, U.K. , ISSN 1550-6037, pp 597-600, 2011.

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, “Detection of abnormal regions of precancerous lesions in Digitised Uterine Cervix images" Proceedings of International Electrical Engineering Congress (iEECON2014), Pattaya city, Thailand, March 19-21, pp=205-210 2014. ISBN : 978-1-4799-3174-3, doi 10.1109/iEECON.2014.6925937

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, “A Novel Analysis of Clinical Data and Image Processing Algorithms in Detection of Cervical Cancer” Proceedings of ICIMSA, Tokyo, Japan,  (Springer LNEE), pp 1091-1098, 2015.

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, "Implication of Technology on society in Asia: Automated detection of Cervical Cancer" IEEE International Conference on Technology & Society, Singapore, ISBN-978-1-4673-2070-2, 2012.

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, "Elimination of Specular reflection and Identification of ROI: The First Step in Automated Detection of Uterine Cervical Cancer using Digital Colposcopy" Proceedings of IEEE Imaging Systems & Techniques, Penang, Malaysia ISSN: 978-1-61284-895-2 pp 137-141, 2011. 

Abhishek Das, Avijit Kar, Debasis Bhattacharyya , “A Novel Illumination Correction and Intensity Normalization Method on Cervigrams in the Early Detection of Uterine Cervical Cancer” Proceedings of ICoCoE, Phuket, Thailand, pp-671-681, 2015.

Abhishek Das, Antara Choudhury, "A Novel Humanitarian Technology for Early Detection of Cervical Neoplasia: ROI extraction and SR detection" 5th IEEE R10(Asia Pacific) HTC International Conference, Dhaka, Bangladesh, 2018, pp.457-460.         doi:10.1109/R10-HTC.2017.8288998

Zafar Sarif, Md Sharib Akhtar, Abhishek Das, and Dipankar Das. 2025. Trans-Sent at SemEval-2025 Task 11: Text-based Multi-label Emotion Detection using Pre-Trained BERT Transformer Models. In Proceedings of the 19th International Workshop on Semantic Evaluation (SemEval-2025), pages 893–898, Vienna, Austria. Association for Computational Linguistics.  https://aclanthology.org/2025.semeval-1.121/ 

Zafar Sarif, Sannidhya Das, Abhishek Das, Md Fahin Parvej, and Dipankar Das. "Identifying Severity of Depression in Forum Posts using Zero-Shot Classifier and DistilBERT Model." Proceedings of the First Workshop NLP and Language Models for Digital Humanities associated with RANLP 2025, pages 126–132, Varna, Bulgaria, Sep 11, 2025. https://doi.org/10.26615/978-954-452-106-6-012 

International Conferences in India

2026

1.  Md Iqbal, Anjana Bhattacharya, Zafar Sarif, Dipankar Das, Abhishek Das, "Comprehensive AI-Driven Depression Detection in University Communities: Multimodal Approaches Integrating NLP, Computer Vision, and Physiological Signals" ( Track-ICT/CS) at the 8th Regional Science & Technology Congress (Region-4) organised by DST-BT, Govt. of West Bengal at Kalyani University on 16 Jan 2026. 

2. Rajat Nandy, Abhishek Das, Surojit Roy, Rohit Kamal Chatterjee, Anwesha Das, "MICROANEURYSM DETECTION IN RETINAL IMAGE PROCESSING USING MORPHOLOGICAL SEGMENTATION AND RANDOM FOREST CLASSIFIER" ( Track-Engg. Sc.& Tech ) at the 8th Regional Science & Technology Congress (Region-4) organised by DST-BT, Govt. of West Bengal at Kalyani University on 16 Jan 2026. 

3. Md Iqbal, Anjana Bhattacharya, Zafar Sarif, Dipankar Das, Abhishek Das,"Comprehensive AI-Driven Depression Detection in University Communities: Multimodal Approaches Integrating NLP, Computer Vision, and Physiological Signals" ( Track-Engg. Sc.& Tech ) at the 8th Regional Science & Technology Congress (Region-4) organised by DST-BT, Govt. of West Bengal at Kalyani University on 17 Jan 2026. 

4. 
   

2025

1. Rajat Suvra Nandy, Rohit Kamal Chatterjee, Abhishek Das "Adaptive Region Growing and Exudates in Diabetic Retinopathy" , PRAYAS-2025 organised by MCKVIE & IET(UK) Kolkata LN  on 25 April 2025.

2. Md. Iqbal, Abhishek Das, "Mental health Classification Using Machine learning and Data Fusion for the detection of Alzheimer's and Parkinson disease", PRAYAS-2025 organised by MCKVIE & IET(UK) Kolkata LN  on 25 April 2025.

3. Moshidur Rahaman, Zafar Sarif, Abhishek Das , " Machine Learning based Model for Detection of Depression among University Students and Staff", PRAYAS-2025 organised by MCKVIE & IET(UK) Kolkata LN  on 25 April 2025.

2022

1.    Rasidul Karim, Abhishek Das, “ An Efficient Midpoint k-means Based Clustering Approach in Forest Fire”, Proceedings of 11th  International Conference on Computing, Communication and Sensor Networks September, 2022, Utkal University, Odisha

2.     Mehboob Zahedi, Abhishek Das, “ A Case Study of 5W+1H Automated Testing in Health Care” , Proceedings of 11th  International Conference on Computing, Communication and Sensor Networks September, 2022, Utkal University, Odisha

3.      Mehboob Zahedi, Abhishek Das, "Cybernetics: A Transformative Platform in Achieving SDGs.” Proceedings of International Conference (ICMBP 2023) on “Digital India – A Transformative Platform in achieving SDGs”, Aliah University, 2023.                                                                                                                                

4.    Mehboob Zahedi, Abhishek Das, “ Hadoop in Data Science”, Proceedings of 5th Regional Science & Technology Congress, Midnapore, 2023.

2020

1.  Rajat Suvra Nandy, Rohit Kamal Chatterjee, Abhishek Das, “Segmentation of Blood Vessels in Diabetic Retinopathy”, In Proc.: 2nd International Conference on Machine Learning, Image Processing, Network Security and Data sciences (MIND-2020)

2019

1. Samit Bhanja, Abhishek Das, "Data Normalization optimisation on Deep Neural Network for Time Series Forecasting" Proceedings of Conference on Advancement in Computation, Communication and Electronics Paradigm (ACCEP2019), pp-27-31, 2019, ISBN :978-81-940096-0-3 

2. Dildar Ali, Abhishek Das, "Face Detection and Eye Extraction using Canny Edge Detection and Hough Transform", Proceedings of Conference on Advancement in Computation, Communication and Electronics Paradigm (ACCEP2019), pp-14-18, 2019, ISBN : 978-81-940096-0-3 

3. Rozina Khatoon, Abhishek Das, "A Survey on Image Segmentation Techniques", Proceedings of Conference on Advancement in Computation, Communication and Electronics Paradigm (ACCEP2019), pp-2-9, 2019, ISBN : 978-81-940096-0-3   

2018

1. Abhishek Das, Antara Choudhury, "A Novel Humanitarian Technology for Early Detection of Cervical Neoplasia: ROI extraction and SR detection" 5th IEEE R10(Asia Pacific) HTC International Conference, Dhaka, Bangladesh, 2018, pp.457-460.                                                                                                                                                     

2. Saiyed Umer, Abhishek Das, "An Innovative Obstacle Detection System for Robot Navigation", In. Proc.: Computing, Communication and Sensor Network(CCSN), 2018, ISBN: 81-85824-46-2                                                   

3. H. N. Khan, A. Chaudhuri, Abhishek Das, A. Chaudhuri, "Image encryption using secret variant session key", In. Proc.: Computing, Communication and Sensor Network(CCSN), 2018, ISBN: 81-85824-46-2                   

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, "Novel segmentation algorithms in early detection of Cervical Cancer” International Conference on Materials Science (ICMS-2013), Agartala, India, 2013. 

National Conferences/ Seminars in India

Abhishek Das, “Biotechnology Application In Medical Images : Segmentation Algorithms In Automated Detection Of Cervical Cancer” National Seminar on Advances in Modern BioTechnology , TU State BioTech Hub, sponsored by DBT, Govt. of India, 2015.

Abhishek Das, Avijit Kar, Debasis Bhattacharyya, "Quantitative Analysis for early detection of Uterine Cervical Cancer" National Conference on Pervasive Computing and Communications (NPCC),Kolkata, India, 2012.

Diptanu Basak, Abhishek Das "Visual Cryptography Using Novel Algorithms". Accepted in Dec 2016 as Proceedings at the National Seminar on "Science & Technology for Human Welfare" organised by IASST (under DST, Govt. of India).

Dipayan Ghosh, Abhishek Das "Information Fusion based IoT Semantic Data". Accepted in Dec 2016 as Proceedings at the National Seminar on "Science & Technology for Human Welfare" organised by IASST (under DST, Govt. of India).

Antara Choudhury, Abhishek Das "Image Processing Techniques For Detection Of Cervical Cancer- A Survey". Accepted in Dec 2016 as Proceedings at the National Seminar on "Science & Technology for Human Welfare" organised by IASST (under DST, Govt. of India).

Oindrila Ghosh, Abhishek Das "Internet of Things Data Semantics". Accepted in Dec 2016 as Proceedings at the National Seminar on "Science & Technology for Human Welfare" organised by IASST (under DST, Govt. of India).

Antara Choudhury, Abhishek Das " Survey on Automated detection of cervical cancer" Proceedings of National Conference on Recent Trends in Engineering and Technology(NCRTET-17) organised by Tripura Institute of Technology, Agartala March 2017.

 Samit Bhanja, Abhishek Das, "Data Normalization optimisation on Deep Neural Network for Time Series Forecasting" Proceedings of Conference on Advancement in Computation, Communication and Electronics Paradigm (ACCEP2019), pp-27-31, 2019, ISBN : 978-81-940096-0-3

Dildar Ali, Abhishek Das, "Face Detection and Eye Extraction using Canny Edge Detection and Hough Transform", Proceedings of Conference on Advancement in Computation, Communication and Electronics Paradigm (ACCEP2019), pp-14-18, 2019,  ISBN : 978-81-940096-0-3

Rozina Khatoon, Abhishek Das, "A Survey on Image Segmentation Techniques", Proceedings of Conference on Advancement in Computation, Communication and Electronics Paradigm (ACCEP2019), pp-2-9, 2019, ISBN : 978-81-940096-0-3