Soumitra Das

@indiraicem.ac.in

Professor and Computer Engineering
Indira College of Engineering and Management

Soumitra Das


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https://researchid.co/soumitra_das

EDUCATION

PhD in Computer Engineering

RESEARCH, TEACHING, or OTHER INTERESTS

Multidisciplinary, Computer Engineering, Artificial Intelligence, Information Systems
21

Scopus Publications

204

Scholar Citations

7

Scholar h-index

6

Scholar i10-index

Scopus Publications

  • How to Design and Implement an Artificial Intelligence Framework that Personalizes the Learning Experience for Every Individual
    Nilesh Joshi, Manisha Bharati, Soumitra Das, Alpana A. Borse
    2026 International Conference on Emerging Technologies and Future Innovations Etfi 2026, 2026
  • Automatic Stability Studies Alert System for Pharmaceutical Formulations
    Madhur Kulkarni, Poorna Shankar, Soumitra Das, Chetan Sul, Shubhankar Barhate
    Lecture Notes in Networks and Systems, 2026
  • ART CURATION ALGORITHMS: MACHINE LEARNING IN MUSEUM EDUCATION
    Pooja Goel, Bhavuk Samrat, Bhanu Juneja, Rutu Bhatt, Yashoda L, Soumitra Das
    Shodhkosh Journal of Visual and Performing Arts, 2025
    This paper introduces a consolidated machine learning framework for adaptive art curation for improving museum education. It proposes a system that combines computer vision, natural language processing, recommendation algorithms, and multimodal fusion in order to interpret the works of art and curatorial metadata, and create custom learning pathways given to visitors. A mathematical model is used to formalize the representation of the artwork, the dynamics of visitor preferences, the computation of thematic similarity and the optimization of education, offering a constructed basis for the adaptive curation. The framework illustrates how machine learning can reveal relationships that are not obvious in a collection, promote more compelling interpretive stories and react to individual interests of the visitor in real-time. It further adds the explainability mechanisms and ethical constraints to guarantee the transparency, cultural sensitivity, and fairness in algorithmic recommendations. The findings point to the prospect of the ML-inspired curation to turn museums into a dynamic and learner-focused space but not eliminate the human curatorial skills but augment them. The research adds a practical and theoretically-based model for incorporating machine learning in museum education in an ethical and transparent way.
  • SMART PRINT MANAGEMENT USING PREDICTIVE ANALYTICS
    Soumitra Das, Charu Wadhwa, Aseem Aneja, Shikha Gupta, Rutu Bhatt, Madhur Grover
    Shodhkosh Journal of Visual and Performing Arts, 2025
    This study is a proposal of a smart, foresight analytics-based Smart Print Management model that can maximize efficiency, reliability, and sustainability of enterprise print settings. The traditional print management systems are based on reactive operations and thus they have recurring device failures, consumable is used inefficiently and there is little visibility of the print behaviors. In order to seal these cracks, the suggested framework incorporates IoT-enabled telemetry, machine-learning-enabled forecasting, predictive maintenance, and anomaly detection in order to make the print management an interactive and automatic decision-making infrastructure. The system gathers multi-modal data on heterogeneous printer fleets like print volumes, device health metrics and job-level logs and processes them in an effective data acquisition and preprocessing pipeline. LMST and print volume predictive models, random forest and XGBoost predictive models for failure prediction, autoencoders models to predict anomalies are used to analyze operational trends and predict future status. The experimental use of those models proves their ability to predict workload changes, reveal the earliest indicators of a device malfunctioning, and causes of abnormal printing behavior, which allows the routing of jobs automatically, routine maintenance, and notifications about security vulnerabilities. The results indicate that there were significant gains regarding continuity of operations, cost reduction, optimization of consumables, and performance in terms of sustainability. The paper concludes that predictive analytics will offer a substantial degree of responsiveness and resiliency of the print management infrastructure. The lines of the future research involve the study of federated learning, reinforcement learning coordination, and digital twin simulation to develop automation, scalability, and privacy of smart print ecosystems further.
  • AI-Powered Learning: Exploring the Dual Impact of Generative AI Chatbots on Enhancing Cognitive Skills and Efficiency Amongst Computer Science Learners
    Poorna Shankar, Jayasri Murali, Soumitra Das, Abhilash Shinde, Manvi Tekriwal
    Lecture Notes in Educational Technology, 2025
  • A Relative Analysis of Enhanced Machine Learning Algorithm SVM & Decision Tree to Predict Smart Grid Stability
    V. Dharani, Srinivasa Varma, Sandeep Dwarkanath Pande, Soumitra Das, Sk Hasane Ahammad, Krunal Pawar
    2025 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2025, 2025
    The demand for electricity has been rapidly increasing nowadays. So, it is necessary to distribute power to consumers efficiently. Smart grids (SG) can reduce the losses in the distribution of power. To achieve accuracy, artificial intelligence (AI) and machine learning(ML) techniques are implemented widely. There is an evident need of analysing and comparing different algorithms and choose the most suitable one to relate for SGs. Several enhanced algorithms such as Random Forest (RF), Support Vector Machine (SVM), Naïve Baye's (NB), K-Nearest Neighbours (KNN), Logistic Regression (LR), Decision Tree (DT), Stochastic Gradient Descent (SGD) classifier, and Gradient Boosting (GB) are used for predicting the stability of SGs. In the proposed paper, a correlative exploration between DT and SVM has been focused formed on evaluation grades like precision and accuracy.
  • Development of Control Strategy for an Energy Efficient Heating Ventilation and Air Conditioning System
    R B R Prakash, Sravani Ravipudi, Sk Hasane, Soumitra Das, Sandeep Dwarkanath Pande, Sandip Kahate
    2025 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2025, 2025
    In light of increasing demand and the environmental impacts of conventional energy sources, heating, ventilation, and air conditioning (HVAC) systems are proposed as an alternative to and replacement for conventional CFC air conditioners in order to reduce environmental impacts. HVAC is ideally suited for large enterprises and organizations. This project will cover HVAC types, a variety of components, and their modelling. For efficient operation and cost effectiveness, a utility-focused control technique is provided. To demonstrate the performance of the system, a Prototype is proposed with the proposed control strategy. In order to demonstrate the business's efficacy, a cost-benefit analysis will also be conducted. Confusion matrix analysis reveals balanced classification of comfort states, ensuring reliability for real-time deployment; experimental results confirm stable performance with accuracy of 92.1%, precision of 90.5%, recall of 90.9%, and F1-score of 90.7%; and a cost-benefit analysis further validates its economic viability. This work helps close the gap between theoretical research and real-world applications by providing an approachable solution that combines environmental sustainability, economic efficiency, and ease of adoption.
  • Tracing the Journey of Soybeans: Implementing Blockchain in Agricultural Supply Chain Management
    Pragati Sambhaji Malusare, Soumitra Das
    2024 IEEE 9th International Conference for Convergence in Technology I2ct 2024, 2024
    Blockchain combines data management, networking, and cryptography to create a robust and efficient platform for transactions. Initially designed for digital currencies, blockchain has evolved into a versatile tool for various transactions. Its potential to revolutionize industries, including agriculture, has been demonstrated. In agriculture, blockchain can be used to secure and streamline transactions, especially in high-value product areas. This paper suggests using blockchain to improve soybean traceability in the agricultural supply chain through smart contracts. The proposed solution eliminates the need for a central authority or intermediaries, providing secure and transparent transaction records. All transactions are recorded and stored in the blockchain’s unalterable ledger, linked to a decentralized file system, ensuring high transparency, traceability, and efficiency in the supply chain.
  • Exploring the dynamics of pbl-based learning: A study on collaboration, reflection, engagement, critical thinking, and student success
    Soumitra Das, Vikas Nandgaonkar, Ravindra Eklarker, Balasaheb Wamanrao Balkhande, Sandeep Dwarkanath Pande
    Design and Implementation of Higher Education Learners Learning Outcomes Hello, 2023
    Problem-based learning (PBL) is an instructional approach where students solve real-world problems in collaboration. PBL effectiveness is assessed through parameters like time spent, collaboration, reflection, problem relevance, complexity, motivation, understanding, and application. The authors conducted a study analyzing these parameters in PBL-based learning. Using mixed-methods (surveys, interviews, and assessments), they collected data from undergraduates in a PBL course. Results show PBL enhances problem-solving, teamwork, critical thinking, and engagement. The findings have implications for future PBL research and practice.
  • Syllabic Speech Synthesis for Marathi Language
    Soumitra Das
    2023 1st International Conference on Cognitive Computing and Engineering Education Icccee 2023, 2023
    In this work, a new methodology for synthesizing speech through syllabic division is presented. The goal of the Marathi language text-to-speech system is to convert written text into spoken form. Text-to-speech consists of two main parts: text processing and speech synthesis. The syllabic approach involves dividing a word into syllable units to improve speaking simplicity and naturalness, as long as the division is accurate and precise. A syllable is a pronounced unit of a word and a group of syllables or letters that occur together in speech. By using the syllabic method to decompose a word, information is gained on pronunciation length of each letter, pause points, and emphasis. The basic units of Marathi language are aksharas, represented as C for consonants and V for vowels. There are 37 consonants and 14 vowels, along with unique characters like Anuswar, Rafar, and Visarg in Marathi. To divide a word into syllabic clusters, the correct structure of the word must first be determined. Every word has either a CV (consonant-vowel) or PH (phonetic) structure, which is crucial in detecting any rule violations. This technique results in improved accuracy and training efficiency.
  • Chameleon-ACO Hybrid: Optimizing Power-Efficient Clustering and Routing in Wireless Networks
    Soumitra Das, DilipKumar Jang Bahadur Saini, Kapil Joshi, Anupam Singh, Pooja Joshi, Satish Laxman Yedage
    Proceedings 2023 3rd International Conference on Ubiquitous Computing and Intelligent Information Systems Icuis 2023, 2023
  • Quality, Quantity and Type detection of Fruits inside Refrigerator through Smart Vision in IoT
    Soumitra Das, Vikas N Nandgaonkar, Purushottam Dasab, DilipKumar Jang Bahadur Saini, Ramdas G Biradar, Ashutosh Bhatt
    2023 International Conference on Sustainable Emerging Innovations in Engineering and Technology Icseiet 2023, 2023
  • Digitization of handwritten Devanagari text using CNN transfer learning – A better customer service support
    Sandeep Dwarkanath Pande, Pramod Pandurang Jadhav, Rahul Joshi, Amol Dattatray Sawant, Vaibhav Muddebihalkar, Suresh Rathod, Madhuri Navnath Gurav, Soumitra Das
    Neuroscience Informatics, 2022
  • Comparative Analysis of Skin Cancer Prediction using Neural Networks and Transfer Learning
    Dr. Soumitra Das, Durgaprasad Gangodkar, Rajesh Singh, Pradakhshana Vijay, Ankit Bhardwaj, Amit Semwal
    Proceedings of 5th International Conference on Contemporary Computing and Informatics Ic3i 2022, 2022
  • Extending lifetime of wireless sensor networks using multi-sensor data fusion
    SOUMITRA DAS, S BARANI, SANJEEV WAGH, S S SONAVANE
    Sadhana Academy Proceedings in Engineering Sciences, 2017
  • Energy efficient and trustable routing protocol for Wireless Sensor Networks based on Genetic Algorithm (E2TRP)
    Soumitra Das, Barani S, Sanjeev Wagh, S.S. Sonavane
    International Conference on Automatic Control and Dynamic Optimization Techniques Icacdot 2016, 2017
  • Energy aware routing based on multi-sensor data fusion for wireless sensor networks
    Soumitra Das, S. Barani, Sanjeev Wagh, S. S. Sonavane
    Communications in Computer and Information Science, 2016
  • An energy efficient and reliable location wise data aggregation in WSN
    Manisha V. Bhosle, Mininath K. Nighot, Somitra S. Das
    Proceedings 1st International Conference on Computing Communication Control and Automation Iccubea 2015, 2015
  • An automatic irrigation system using ZigBee in wireless sensor network
    Pravina B. Chikankar, Deepak Mehetre, Soumitra Das
    2015 International Conference on Pervasive Computing Advance Communication Technology and Application for Society Icpc 2015, 2015
  • Chameleon based clustering for wireless sensor network
    International Journal of Applied Engineering Research, 2015
  • Prolonging the lifetime of the wireless sensor network based on blending of genetic algorithm and ant colony optimization
    Soumitra Das, , Sanjeev Wagh, and
    Journal of Green Engineering, 2014

RECENT SCHOLAR PUBLICATIONS

  • Semisimple-continuous modules
    S Das, Y Kara, Ö Taşdemir
    MISKOLC MATHEMATICAL NOTES 27 (1) , 2026
    2026
  • Development of Control Strategy for an Energy Efficient Heating Ventilation and Air Conditioning System
    RBR Prakash, S Ravipudi, S Hasane, S Das, SD Pande, S Kahate
    2025 IEEE International Conference on Blockchain and Distributed Systems … , 2025
    2025
  • Enhancing Retail Decision-Making through Market Basket Analysis: An Apriori Algorithm Approach
    MNS Prof Nilesh Avinash Joshi, Dr Soumitra Das, Miss Pranali More ,Miss ...
    International Journal of Scientific Research in Engineering and Management … , 2025
    2025
  • Sentiment Analysis of Political Leaders Speeches Using AI and NLP with Machine Learning, Deep Learning, and Transformer Models
    DSD Malayaj Kumar, Dr. Anuj Kumar Singh
    Open Access International Journal of Science& Engineering 8 (2), 7 , 2025
    2025
  • Tracing the journey of soybeans: implementing blockchain in agricultural supply chain management
    PS Malusare, S Das
    2024 IEEE 9th International Conference for Convergence in Technology (I2CT), 1-4 , 2024
    2024
    Citations: 4
  • A Review of Industrial IoT Security Based on Quantum-Enhanced Cryptographic Protocols
    DSR Dr. Vikas Nandgaonkar,Dr. Soumitra Das
    Industrial Engineering Journal 53 (9), 13 , 2024
    2024
  • Analysis of Political Leaders Speech Using NLP and AI: Techniques and Algorithms
    DSD Malayaj Kumar, Dr. Anuj Kumar Singh
    INTERNATIONAL JOURNAL OF ADVANCE SCIENTIFIC RESEARCH AND ENGINEERING TRENDS … , 2024
    2024
  • Exploring the dynamics of pbl-based learning: A study on collaboration, reflection, engagement, critical thinking, and student success
    S Das, V Nandgaonkar, R Eklarker, BW Balkhande, SD Pande
    Design and Implementation of Higher Education Learners' Learning Outcomes … , 2024
    2024
    Citations: 6
  • Quality, Quantity and Type detection of Fruits inside Refrigerator through Smart Vision in IoT
    S Das, VN Nandgaonkar, P Dasab, DKJB Saini, RG Biradar, A Bhatt
    2023 International Conference on Sustainable Emerging Innovations in … , 2023
    2023
    Citations: 2
  • Chameleon-ACO hybrid: Optimizing power-efficient clustering and routing in wireless networks
    S Das, DKJB Saini, K Joshi, A Singh, P Joshi, SL Yedage
    2023 Third International Conference on Ubiquitous Computing and Intelligent … , 2023
    2023
    Citations: 3
  • Syllabic Speech Synthesis for Marathi Language
    S Das
    2023 1st International Conference on Cognitive Computing and Engineering … , 2023
    2023
    Citations: 1
  • Genetic algorithm based energy aware clustering techniques: A survey
    NB Nimbalkar, SS Das
    International Journal of Computer Applications 95 (10), 11-16 , 2023
    2023
    Citations: 1
  • Tracing the Journey of Soybeans: Implementing Blockchain in Agricultural Supply Chain Management
    PSMS Das
    2023 Third International Conference on Ubiquitous Computing and Intelligent … , 2023
    2023
  • SMART SIGN LANGUAGE RECOGNITION SYSTEM USING MEDIAPIPE
    DVN Dr. Sunil Rathod,Dr. Soumitra Das
    ShodhKosh: Journal of Visual and Performing Arts 4 (1), 6 , 2023
    2023
  • Digitization of handwritten Devanagari text using CNN transfer learning–A better customer service support
    SD Pande, PP Jadhav, R Joshi, AD Sawant, V Muddebihalkar, S Rathod, ...
    Neuroscience Informatics 2 (3), 100016 , 2022
    2022
    Citations: 77
  • CapsNet and KNN-Based Earthquake Prediction Using Seismic and Wind Data
    SD Pande, S Das, P Jadhav, AD Sawant, SS Pathak, SL Bangare
    Computer Vision and Internet of Things, 235-246 , 2022
    2022
    Citations: 1
  • AUTOMATIC ALERT GENERATION SYSTEM FOR STABILITY STUDIES OF PHARMACEUTICAL FORMULATIONS OF DRUGS
    DVN Dr. Sunil Rathod,Dr. Soumitra Das
    IJFANS INTERNATIONAL JOURNAL OF FOOD AND NUTRITIONAL SCIENCES 11 (10), 17 , 2022
    2022
  • Smart Diet India: An AI-Powered Platform for Personalized and Culturally Adaptive Indian Diet Management
    DVN Dr. Soumitra Das,Dr. Sunil Rathod
    IJFANS INTERNATIONAL JOURNAL OF FOOD AND NUTRITIONAL SCIENCES 11 (3), 8 , 2022
    2022
  • ADVANCED STUDY OF SMART ROAD SAFETY USING SENSOR TECHNOLOGY
    DSD Shikha Mishra, Prof. Dr. B. K. Sarkar
    ANNALS OF FOREST RESEARCH 65 (1), 12214-12220 , 2022
    2022
  • Digitization of handwritten Devanagari text using CNN transfer learning – A better customer service support
    SD Sandeep DwarkanathPandea,b,∗, Pramod PandurangJadhavc, RahulJoshid, Amol ...
    Elsevier Neuroscience Informatics 2 (3), 9 , 2021
    2021

MOST CITED SCHOLAR PUBLICATIONS

  • Digitization of handwritten Devanagari text using CNN transfer learning–A better customer service support
    SD Pande, PP Jadhav, R Joshi, AD Sawant, V Muddebihalkar, S Rathod, ...
    Neuroscience Informatics 2 (3), 100016 , 2022
    2022
    Citations: 77
  • Extending lifetime of wireless sensor networks using multi-sensor data fusion
    S Das, S Barani, S Wagh, SS Sonavane
    Sadhana academy proceedings in engineering sciences 42 (7), 1083-1090 , 2017
    2017
    Citations: 22
  • Prolonging the Lifetime of the Wireless Sensor Network based on blending of Genetic Algorithm and Ant Colony Optimization
    SW Soumitra Das
    Journal of Green Engineering 4 (3), 245-260 , 2015
    2015
    Citations: 12
  • Optimal clustering and routing for wireless sensor network based on cuckoo search
    S Das, S Barani, S Wagh, SS Sonavane
    International Journal of Advanced Smart Sensor Network Systems (IJASSN) 7 (2) , 2017
    2017
    Citations: 11
  • Energy efficient and trustable routing protocol for wireless sensor networks based on genetic algorithm (E2TRP)
    S Das, S Barani, S Wagh, SS Sonavane
    2016 International Conference on Automatic Control and Dynamic Optimization … , 2016
    2016
    Citations: 11
  • Energy efficient cluster based hierarchical routing protocols in wireless sensor network: a survey
    S Das, S Wagh, PD Ganjewar
    Multidisciplinary Journal of Research in Engineering and Technology 1 (1), 6-22 , 2014
    2014
    Citations: 10
  • E-Recruitment process with use of business process modelling
    DR Lad, SS Das
    International Research Journal of Engineering and Technology (IRJET) 4 (01 … , 2017
    2017
    Citations: 9
  • An exhaustive survey on nature inspired metaheuristic algorithms for energy optimization in wireless sensor network
    S Das
    ICTACT journal on communication technology , 2015
    2015
    Citations: 7
  • Exploring the dynamics of pbl-based learning: A study on collaboration, reflection, engagement, critical thinking, and student success
    S Das, V Nandgaonkar, R Eklarker, BW Balkhande, SD Pande
    Design and Implementation of Higher Education Learners' Learning Outcomes … , 2024
    2024
    Citations: 6
  • A survey on cluster head selection techniques
    NB Nimbalkar, SS Das
    Multidisciplinary Journal of Research in Engineering and Technology 1 (1), 5 , 2014
    2014
    Citations: 6
  • Wearable Fetus Monitoring: An IoMT Approach
    S Das
    Journal of Scientific Research, 62 (2), 389-393 , 2020
    2020
    Citations: 5
  • Traffic Signal Optimization and Flow Control using Fuzzy Logic
    Y Kumthekar, AN Patil, Y Notani, J Fating, S Das
    International Journal of Computer Sciences and Engineering 4 (5), 153-156 , 2016
    2016
    Citations: 5
  • Tracing the journey of soybeans: implementing blockchain in agricultural supply chain management
    PS Malusare, S Das
    2024 IEEE 9th International Conference for Convergence in Technology (I2CT), 1-4 , 2024
    2024
    Citations: 4
  • Chameleon-ACO hybrid: Optimizing power-efficient clustering and routing in wireless networks
    S Das, DKJB Saini, K Joshi, A Singh, P Joshi, SL Yedage
    2023 Third International Conference on Ubiquitous Computing and Intelligent … , 2023
    2023
    Citations: 3
  • Quality, Quantity and Type detection of Fruits inside Refrigerator through Smart Vision in IoT
    S Das, VN Nandgaonkar, P Dasab, DKJB Saini, RG Biradar, A Bhatt
    2023 International Conference on Sustainable Emerging Innovations in … , 2023
    2023
    Citations: 2
  • Messaging System for Hand Held Devices Using Wi-Fi/Bluetooth Network
    AA Mahapadi, PS Das, P Lohegaon
    Multidisciplinary Journal of Research in Engineering and Technology 180, 39-40 , 2018
    2018
    Citations: 2
  • Criminal identification using partial fingerprint reconstruction method
    P Chhajer, O Kadam, D Agarwal, N Pandey, S Das
    Int. J. Innovative Res. Sci. Eng. Technol 6 (5), 8891-8899 , 2017
    2017
    Citations: 2
  • A SURVEY OF NATURE INSPIRED COMPUTING FOR ENERGY OPTIMIZATION IN WIRELESS SENSOR NETWORK
    S Das, S Barani, S Wagh, SS Sonavane
    International Journal of Computer Technology and Applications (IJCTA) 6 (6 … , 2015
    2015
    Citations: 2
  • F-Share for Hand Held Devices Using Wi-Fi Bluetooth Network
    AA Mahapadi, S Das
    International Research Journal of Engineering and Technology 2 (3), 1312-1315 , 2015
    2015
    Citations: 2
  • Syllabic Speech Synthesis for Marathi Language
    S Das
    2023 1st International Conference on Cognitive Computing and Engineering … , 2023
    2023
    Citations: 1