AI Innovation Lab
Inventing the Future with AI
Vision
To become a leading center of excellence in Artificial Intelligence research, innovation, and education that empowers students, researchers, and industry partners to create intelligent solutions for a sustainable and technologically advanced society.
Mission
- To foster a multidisciplinary ecosystem that nurtures creativity, innovation, and entrepreneurship in the field of Artificial Intelligence and allied technologies.
- To conduct cutting-edge research in AI, Machine Learning, Data Science, and emerging technologies addressing real-world challenges in industry and society.
- To develop skilled and future-ready professionals equipped with critical thinking, ethical values, and technological competence.
- To collaborate with academia, research organizations, and industry for knowledge exchange and technology transfer.
- To promote AI-driven innovations that contribute to the vision of Digital India and sustainable national development.
Research Area:
- Machine Learning
- Explainable Machine Learning
- Deep Learning
- Optimization
- Applications of AI & ML in Biomedical Image Processing, Biomedical Image Registration, Medical Data Mining, Data Science
Computing Facilities
AI Innovation Lab has a total of five workstations with NVIDIA 32 GB, 16 GB, and 4GB GPUs.
Two Workstations with the following configuration:
| SL. NO. | ITEM | SPECIFICATION | |
|---|---|---|---|
| WORKSTATION 1 | WORKSTATION 2 | ||
| 1. | CPU | Intel Core Ultra 7 265K 5.5 GHz | Intel Core i7 -12700f Desktop 12th Generation Processor 2.10 GHz |
| 2. | RAM | 96 GB DDR5 | 64 GB DDR5 |
| 3. | SSD | 2TB Gen5 NVMe SSD | 1TB Gen5 NVMe SSD |
| 4. | GPU | NVIDIA RTX 5090 32 GB | NVIDIA RTX 5080 16 GB |
| 5. | Operating System | Ubuntu | Ubuntu |
Three Workstations with the following configuration:
| SL. NO. | ITEM | SPECIFICATION |
|---|---|---|
| 1. | CPU | Intel Core i7 -12700f Desktop 12th Generation Processor 2.10 GHz |
| 2. | RAM | 16 GB DDR5 |
| 3. | SSD | 500 GB |
| 4. | GPU | NVIDIA GTX 1650 4 GB |
| 5. | Operating System | Ubuntu |
Publication:
Referred Journals:
- Pritam Chakraborty, Anjan Bandyopadhyay, Sricheta Parui, Sujata Swain, Partha Sarathy Banerjee, Tapas Si, Saurav Mallik, Hong Qin, OptiSelect and EnShap: Integrating Machine Learning and Game Theory for Ischemic stroke prediction, PLOS ONE, 2025 Aug 13;20(8):e0328967. doi: 10.1371/journal.pone.0328967. PMID: 40802707; PMCID: PMC12349079. [SCIE Indexd, Q2, Impact Factor: 2.6]
- Biswajit Patwari, Utpal Nandi, Srishti Dey, Sayani Dhar, Sudipta Kr Ghosal, Tapas Si, Blockchain-Integrated Image Steganography using xDoG Edge Detection for Authentication, Cyber Security and Applications (ELSEVIER).Cyber Security and Applications, Volume 3, 2025, 100091, ISSN 2772-9184, 10.1016/j.csa.2025.100091. [SCOPUS-indexed]
- João Pedro F. Andrade, Tapas Si, Ana Paula Cavalcanti, André C.A. Nascimento, Péricles B.C. Miranda, SUSAN: A Deep Learning-based Architecture for Violence Detection against Women in Surveillance Videos, Expert Systems With Applications (ELSEVIER), Vol. 280, 2025, 127337, ISSN 0957-4174, 10.1016/j.eswa.2025.127337. [SCIE Indexd, Q1, Impact Factor: 7.5]
- Shubhankar Bhakta, Utpal Nandi, Chiranjit Changdar, Bachchu Paul, Tapas Si, Rajat Kumar Pal, “aMacP: An adaptive optimization algorithm for Deep Neural Network with manuscript number”, Neurocomputing (Elsevier), Vol. 620, 2025, pp. 129242, 10.1016/j.neucom.2024.129242 [SCIE Indexd, Q1, Impact Factor: 5.5]
- Tapas Si, Pericles B.C Miranda, Utpal Nandi, Nanda Dulal Jana, Ujjwal Maulik, Saurav Mallik, and Mohd Asif Shah, “QSHO: Quantum Spotted Hyena Optimizer for Global Optimization”, Artificial Intelligence Review, (SPRINGER), Vol. 58, No. 3, article number 71, 6th January 2025, 10.1007/s10462-024-11072-y [SCIE Indexd, Q1, Impact Factor: 13.9]
- Utpal Nandi, Anish Sarkar, Chiranjit Changdar, Bachchu Pal and Tapas Si, “PatHybNet: Parallel hybrid network for hyperspectral image classification”, Journal of Indian Society of Remote Sensing (Springer), 21 December 2024 DOI: 10.1007/s12524-024-02072-0 [SCIE Indexed][Impact Factor: 2.2].
- Subhayu Ghosh, Nanda Dulal Jana, Tapas Si, Saurav Mallik, Mohd Asif Shah, “CCLCap-AE AVSS: Cycle Consistency Loss based Capsule Autoencoders for Audio-Visual Speech Synthesis”, Journal of Intelligent Systems (De Gruyter), 2024, vol. 33, no. 1, 2024, pp. 20230171. 10.1515/jisys-2023-0171 [SCIE Indexed][Impact Factor: 2.1].
- Tapas Si, Péricles B.C Miranda, Utpal Nandi, Nanda Dulal Jana, Saurav Mallik, Ujjwal Maulik, Hong Qin, “Opposition-based Chaotic Tunicate Swarm Algorithms for Global Optimization”, IEEE Access, Vol.12, pp.18168 – 18188, 2024, DOI: 10.1109/ACCESS.2024.3359587 ISSN: 2169-3536, [SCIE Indexed] [Impact Factor: 3.9, Q1].
- Cleber A.C.F. da Silva, Daniel Carneiro Rosa, Péricles B.C. Miranda, Tapas Si, Ricardo Cerri, Márcio Basgalupp, “Automated CNN optimization using multi-objective grammatical evolution”, Applied Soft Computing (Elsevier), 151, 111124, Jan 2024, Online ISSN: 1872-9681, 10.1016/j.asoc.2023.111124 [SCI indexed, Q1, Impact Factor: 8.7, H-Index: 171]
- Sudarshan Saikia, Tapas Si, Darpan Deb, Kangkana Bora, Saurav Mallik, Ujjwal Maulik, Zhongming Zhao, “Lesion Detection in Women Breast’s Dynamic Contrast-Enhanced Magnetic Resonance Imaging using Deep Learning”, Scientific Reports, NATURE, 13, 22555, 18 Dec 2023, ISSN 2045-2322 (online), 10.1038/s41598-023-48553-z [SCIE Indexed ][Impact Factor: 4.6, Q1].
- Somnath Ganguly, Joyti Mudi, Tapas Si, and V. Mukherjee, “A novel framework for interconnected hybrid power system design using hybridization of metaheuristic algorithms and fuzzy inference”, International Journal of Modelling and Simulation (Taylor & Francis), 08 Oct 2023, Online ISSN: 1925-7082,10.1080/02286203.2023.2281181 [SCIE Indexed] [Impact Factor: 3.1, Q1].
- Somnath Ganguly, Joyti Mudi, V. Mukherjee, Tapas Si, Saurav Mallik, Aimin Li, Amal Al-Rasheed, Mohamed Abbas, and Ayman Abdulhammed, “Performance Analysis of Student Psychology-based Optimization for the Frequency Control of Hybrid-Power System”, IEEE Access, Vol. 11, pp. 93864 – 93882, 25 August 2023, ISSN: 2169-3536, 10.1109/ACCESS.2023.3308825 [SCIE Indexed] [Impact Factor: 3.9, Q1].
- Anudyuti Ghorai, Chiranjit Changdar, Tapas Si, Utpal Nandi, Moirangthem Marjit Singh, Jyotsna Kumar Mondal, Indian sign language recognition system using Network Deconvolution and Spatial Transformer Network, Neural Computing and Applications (Springer), Vol. 35, pp. 20889–20907, 26 July 2023, ISSN: 1433-3058, 10.1007/s00521-023-08860-y [ SCIE Indexed ] [impact factor: 6.0, Q1]
- Tapas Si, Dipak Patra, Anjan Bandyopadhyay, Achyuth Sarkar, Saurav Mallik and Hong Qin, “Identification of Breast Lesion through Integrated Study of Gorilla Troops Optimization and Rotation-based Learning from MRI Images”, Scientific Reports, NATURE, Vol. 13, No. 1, pp. 11577, ISSN: 2045-2322, 10.1038/s41598-023-36300-3 [ SCIE Indexed ][Impact Factor: 4.996, Q1].
- Tapas Si, Debolina Bhattacharya, Somen Nayak, Pericles B.C Miranda, Utpal Nandi, Saurav Mallik, Ujjwal Maulik and Hong Qin, “PCOBL: A Novel Opposition-based Learning Strategy to Improve Metaheuristics Exploration and Exploitation for Solving Global Optimization Problems”, IEEE Access, 05 May 2023, Vol. 11, pp. 46413 – 46440, ISSN: 2169-3536, 10.1109/ACCESS.2023.3273298 [ SCIE Indexed ][Impact Factor: 3.476, Q1].
- Pabitra Pal, Partha Chowdhuri, and Tapas Si, A Novel Watermarking Scheme for Medical Image using Support Vector Machine and Lifting Wavelet Transform, Multimedia Tools and Applications (Springer), Vol. 82, pp. 41187–41206, 01 April 2023, ISSN:1573-7721, 10.1007/s11042-023-15144-z [ SCIE Indexed ] [impact factor: 3.6, Q1]
- Tapas Si, 2D MRI Registration using Glowworm Swarm Optimization with Partial Opposition-based Learning for Brain Tumor Progression, Pattern Analysis and Applications (Springer), Vol. 26, pp. 1265–1290, 22 February 2023, ISSN: 1433-755X, 10.1007/s10044-023-01153-z [ SCIE Indexed ] [impact factor: 3.9, Q2]
- Dipak Kumar Patra, Tapas Si, Sukumar Mondal, Prakash Mukherjee, Breast Lesion Detection from MRI images Using Quasi-Oppositional Slime Mould Algorithm, Multimedia Tools and Applications (Springer), Vol. 82, pp. 30599–30641, 27 February 2023, ISSN: 1573-7721, 10.1007/s11042-023-14329-w [ SCIE Indexed ] [impact factor: 3.6, Q1]
Conferences:
- Akash Deep Kumar, Tapas Si, Utpal Nandi and Saurav Mallik, Explainable AI for Lymphography Prediction: A SHAP-Based Approach, 13th IEEE International Conference on Intelligent Embedded, MicroElectronics, Communication and Optical Networks (IEMECON 2025), Jaipur, India (IEEE) DOI: 10.1109/IEMECON69302.2025.11365698
- Yashasvi Chhaliya, Palak Sharma, Tapas Si, and Ashutosh Singh, Explainable Machine Learning for Nomophobia Prediction: Insights through SHAP Analysis, 13th IEEE International Conference on Intelligent Embedded, MicroElectronics, Communication and Optical Networks (IEMECON 2025), Jaipur, India (IEEE) DOI: 10.1109/IEMECON69302.2025.11365659
- Sougata Banerjee, Tapas Si, Divyansh Sachdev, Tejas Kharkar, Smart Indoor Air Quality Monitoring Device with Automated Threshold-Based Control, 13th IEEE International Conference on Intelligent Embedded, MicroElectronics, Communication and Optical Networks (IEMECON 2025), Jaipur, India (IEEE) DOI: 10.1109/IEMECON69302.2025.11365921
- Rishita Das and Tapas Si, Daily Mutual Fund Return Prediction using Optimized Stacked LSTM, IEEE ELEXCOM 2025, December 20-22, 2025, in IIT (ISM) Dhanbad, Jharkhand, India (IEEE) DOI: 10.1109/ELEXCOM67950.2025.11451548
- Saptarshi Ghosh, Sukdeb Mondal, Joydip Ghosh, Sarbajit Manna and Tapas Si, Caesarean Section Prediction Using Machine Learning with DALEX Explainability, IEEE ELEXCOM 2025, December 20-22, 2025, in IIT (ISM) Dhanbad, Jharkhand, India (IEEE) DOI: 10.1109/ELEXCOM67950.2025.11451514
- Tapas Si, Aman Sharma, Aman Kumar, and Sayak Pramanik, Maternal Health Risk Detection using Stacking Classifier, IEEE ELEXCOM 2025, December 20-22, 2025, in IIT (ISM) Dhanbad, Jharkhand, India (IEEE) DOI: 10.1109/ELEXCOM67950.2025.11451262
- Ashutosh Singh and Tapas Si, Detection of Digital Device Dependency in Adolescents using Decision Tree, IEEE ELEXCOM 2025, December 20-22, 2025, in IIT (ISM) Dhanbad, Jharkhand, India (IEEE) DOI: 10.1109/ELEXCOM67950.2025.11451297
- Soumya Chatterjee, Shubhadeep Sarkar, Debrup Chatterjee, Sarbajit Manna and Tapas Si, Cryotherapy Outcome Prediction with Explainable Machine Learning: A LIME-Based Approach, 23rd OITS International Conference on Information Technology (OCIT), KIIT University, Bhubaneswar, 18-20 December, 2025. (IEEE) DOI: 10.1109/OCIT66168.2025.11400212
- Himanshu Swarnkar and Tapas Si, IEEE Breast Histopathology Image Classification using ResNet152 for Cancer Detection, 2nd International Conference on Artificial Intelligence and Emerging Technologies 2.0 (AISUMMIT 2025): Global AI Summit 2025, Bennett University, November 19th to 21th, 2025 (IEEE) DOI: 10.1109/AISummit66170.2025.11410812
- Sukdeb Monda, Saptarshi Ghosh, Joydip Ghosh, Sarbajit Manna and Tapas Si, Caesarean Section Prediction Using Machine Learning with LIME Explainability, IEEE International Conference on Information Systems and Computer Networks (ISCON 2025), September 5-6, 2025, GLA University, Mathura, India (IEEE) DOI: 10.1109/ISCON65210.2025.11341214
- Pramod Kumar and Tapas Si, Chronic Kidney Disease Classification Using Machine Learning with SHAP Explainability, IEEE International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET 2025), Acropolis Institute of Technology and Research, Sep 27 to 28, 2025 Indore, India (IEEE) DOI: 10.1109/ACROSET66531.2025.11281366
- Tapas Si, Joydip Ghosh, Saptarshi Ghosh, Sukdeb Mondal, Sarbajit Manna, Caesarean Section Classification Using Machine Learning with SHAP Explainability, IEEE International Conference on Computing, Intelligence and Application (CIACON 2025), July 18-19, 2025, Dr. B.C. Roy Engineering College, Durgapur, India (IEEE) DOI: 10.1109/CIACON65473.2025.11189592
- Pramod Kumar and Tapas Si, Chronic Kidney Disease Classification Using Machine Learning with LIME Explainability, IEEE International Conference on Advances in Computing Research on Science Engineering and Technology (ACROSET 2025), Acropolis Institute of Technology and Research, Sep 27 to 28, 2025 Indore, India (IEEE) DOI: 10.1109/ACROSET66531.2025.11281055
- Himanshu Swarnkar and Tapas Si, Women Breast Histopathology Image Classification for Cancer Detection using ResNet101, IEEE International Conference on Information Systems and Computer Networks (ISCON 2025), September 5-6, 2025, GLA University, Mathura, India (IEEE) DOI: 10.1109/ISCON65210.2025.11341313
- Tapas Si, Roshan Kumar and Saurav Mallik, Liver Disease Classification Using Explainable Artificial Intelligence, IEEE International Conference on Electronics, AI and Computing, 5-7 June, 2025, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India (IEEE) DOI: 10.1109/EAIC66483.2025.11101518
- Tapas Si, Aman Sharma, Ashutosh Singh, and Imran, Trapped in the Mobile Screen: A Machine Learning Approach to Predict Nomophobia, IEEE International Conference on Electronics, AI and Computing, 5-7 June, 2025, Dr. B. R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India (IEEE) DOI: 10.1109/EAIC66483.2025.11101516
- Anudyuti Ghorai, Utpal Nandi, Chiranjit Changdar, Bachchu Paul, Biswajit Laya and Tapas Si, Convolutional Block Attention Augmented Convolutional Neural Network for Indian Sign Language Recognition System, 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. 10.1007/978-981-9-1348-9_17
- Partha Saha and Tapas Si, Kidney MRI Classification Using Deep Learning, International Conference on Information Technology and Artificial Intelligence (ITAI 2025), Gurugram University, Gurugram, Haryana, India, January 24-25, 2025, In: Kumar, S., Bye, R.T., Prasad, M. (eds) Proceedings of International Conference on Information Technology and Artificial Intelligence. ITAI 2025. Lecture Notes in Networks and Systems, vol 1506. Springer, Singapore. 10.1007/978-981-9-8694-0_8
- Kazi Fardeen, Harshadeep Bhaduri, Soham Hazra, Praloy Mondal, Sarbajit Manna and Tapas Si, Analysing Breast Cancer Classification Using Explainable Artificial Intelligence, 12th International Conference on Internet of Everything, Microwave, Embedded, Communication & Networks, 24th – 26th October 2024, Rajasthan International Center, Jaipur, India.
- Biswajit Laya, Chiranjit Changdar, Utpal Nandi, Bachchu Paul and Tapas Si, STN-FRCNN: Spatial Transformer Network augmented Faster R-CNN network for crop disease classification, International Conference on Systems and Technologies for Smart Agriculture (ICSTA 2023), December 19 and 20, 2023, Kolkata, India.
- Amerson Chagas, Daniel Rosa, Cleber Silva, Tapas Si, Péricles BC Miranda, Assessing Multi-Objective Search Engines for GE: A Case Study in CNN Generation, 20th National Meeting of Artificial and Computational Intelligence (ENIAC 2023), Brazil, 25-29th September, 2023
Prof. (Dr.) Tapas Si
Associate Dean (Research) & Professor, Dept. of CSE
University of Engineering & Management, Jaipur, GURUKUL, Sikar Road (NH-11), Udaipuria Mod, Rajasthan-303807, India
E-mail: [email protected], [email protected]
