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Hire Dr. Deepak S.

India

USD 60 /hr

Healthcare AI & Clinical Data Science Expert | ML Pipelines | AI Proof-of-Concept | Faculty @ NIT Raipur

Profile Summary

I am an assistant professor in computer science and engineering at the National Institute of Technology (NIT) Raipur, specializing in applied artificial intelligence, healthcare analytics, and data-driven systems.

I lead a research group comprising PhD and postgraduate scholars working in:

• Clinical data preparation and harmonization
• Machine learning pipeline design and validation
• AI proof-of-concept (PoC) development
• Risk prediction and healthcare analytics
• Data engineering and reproducible ML workflows
• Blockchain-enabled traceability systems

I have experience working on funded research projects involving multi-modal healthcare datasets, structured experimentation, and AI model validation.

On Kolabtree, I support clients in:

• Cleaning and structuring complex datasets
• Designing ML-ready data pipelines
• Developing and evaluating predictive models
• Rapid AI prototyping for healthcare and impact domains
• Technical reporting and documentation

My approach combines academic rigor with practical engineering delivery, ensuring reliable and reproducible outcomes within defined timelines.

Subject Matter Expertise

Services

Writing
Research
Consulting
Data & AI

Writing Technical Writing

Research Scientific and Technical Research

Consulting Scientific and Technical Consulting

Data & AI Predictive Modeling, Statistical Analysis, Image Processing, Image Analysis, Algorithm Design-Non ML, Algorithm Design-ML, Data Visualization, Text Mining & Analytics, Data Mining, Data Cleaning, Data Processing, Data Insights

Work Experience

Assistant Professor

National Institute of Technology Raipur

- Present

Associate Research Fellow

NIT Raipur

December 2014 - June 2016

Education

PhD

National Institute of Technology Raipur

July 2016 - October 2019

Certifications

Certification details not provided.

Publications

CONFERENCE PAPER

Choudhary, B., Singh, D., Singh Sisodia, D.(2026). Assessing Model Fusion Efficacy Through Hierarchical Knowledge Distillation . Communications in Computer and Information Science. 2737 CCIS. p. 494-504.

Choudhary, B., Singh, D., Sisodia, D.S.(2025). Hierarchical Feature and Attention-Based Distillation to Improve Student Model Performance . 2025 IEEE International Conference on Computer Electronics Electrical Engineering and their Applications Ic2e3 2025.

Kumar, A., Singh, D.(2024). Multiview Learning and Decision Fusion Based Ensemble to Predict Anti-Cancer Peptide . 1st International Conference on Pioneering Developments in Computer Science and Digital Technologies Ic2sdt 2024 Proceedings. p. 540-545.

Kumar, A., Singh, D.(2024). Multiview and Decision Fusion in Stacking Ensemble to Predict Anti-Cancer Peptides . 2024 Opju International Technology Conference on Smart Computing for Innovation and Advancement in Industry 4 0 Otcon 2024.

Singh, D.K., Bharti, K.K., Shahi, B., Ahirwal, A., Pandey, A., Parveen Bajaj, Er.(2024). Performance Analysis of Diabetes Forecasting using Machine Learning Techniques . 2nd IEEE International Conference on Integrated Intelligence and Communication Systems Iciics 2024.

Yadav, K., Shantanu, K., Choudhary, N., Singh, D.K., Singh, N.(2024). Smart Charging for Electric Vehicles in G2V and V2G modes . Proceedings of the IEEE Power India International Conference Piicon. (2024).

Velaga, N., Singh, D.(2024). The Potential of 1D-CNN for EEG Mental Attention State Detection . Communications in Computer and Information Science. 2128 CCIS. p. 173-185.

Singh, D., Garg, P., Shukla, A.(2023). Accelerating the Prediction of Anti-cancer Peptides Using Integrated Feature Descriptors and XGBoost . Lecture Notes in Networks and Systems. 671 LNNS. p. 306-316.

Kammula, S.K., Anand, V., Singh, D.(2023). An Energy-Conscious Surveillance Scheme for Intrusion Detection in Underwater Sensor Networks Using Tunicate Swarm Optimization . Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics. 14424 LNCS. p. 129-138.

Sisodia, D., Sisodia, D.S., Singh, D.(2023). Evaluating Feature Importance to Investigate Publishers Conduct for Detecting Click Fraud . Lecture Notes in Electrical Engineering. 997 LNEE. p. 515-524.

Babatunde, A.N., Ogundokun, R.O., Jimoh, E.R., Misra, S., Singh, D.(2023). Hausa Character Recognition Using Logistic Regression . Lecture Notes in Electrical Engineering. 997 LNEE. p. 801-811.

kshatri, S.S., Singh, D.(2023). Identifying the Impact of Crime in Indian Jail Prison Strength with Statical Measures . Lecture Notes in Electrical Engineering. 998 LNEE. p. 13-22.

Anuragi, A., Sisodia, D.S., Pachori, R.B., Singh, D.(2023). Performance Evaluation of TQWT and EMD for Automated Major Depressive Disorder Detection Using EEG Signals . Lecture Notes in Electrical Engineering. 997 LNEE. p. 825-839.

Ahmad, N., Arya, S., Singh, D.(2023). Predicting Risky Environment for Child Inside House using Deep Learning . 2023 International Conference on Emerging Smart Computing and Informatics Esci 2023.

Azad, C., Ahmad, P., Niranjan, P., Singh, D.K., Choudhary, N.K., Singh, N.(2023). Residential Level Short-Term Demand Forecasting Using ANFIS Model . Lecture Notes in Electrical Engineering. 1024 LNEE. p. 671-682.

Ahmad, N., Khan, Z., Singh, D.(2023). Student Engagement Prediction in MOOCs Using Deep Learning . 2023 International Conference on Emerging Smart Computing and Informatics Esci 2023.

Joshi, R., Trivedi, M.C., Goyal, V., Singh, D.K.(2022). Current Approaches for Brain Tumor Segmentation . Lecture Notes in Networks and Systems. 356. p. 23-28.

Dwivedi, A., Tiwari, S., Tiwari, A., Kumar Choudhary, N., Singh, N., Singh, D.K.(2022). Forecasting of Electricity Prices for Scheduling of Residential Loads Using LSTM Neural Networks . 2022 IEEE Students Conference on Engineering and Systems Sces 2022.

Joshi, R., Trivedi, M.C., Goyal, V., Singh, D.K.(2022). Current Approaches for Brain Tumor Segmentation . Lecture Notes in Networks and Systems. 356. p. 23-28.

Sharma, D., Singhal, T.K., Singh, D., Qadir, A.(2022). MIST-based Tuning of Cyber-Physical Systems Towards Holistic Healthcare Informatics . 8th International Conference on Advanced Computing and Communication Systems Icaccs 2022. p. 1752-1757.

Joshi, R., Trivedi, M.C., Goyal, V., Singh, D.K.(2022). Role of Transfer Learning in Glioma Grading . Lecture Notes in Networks and Systems. 356. p. 15-22.

Siddhant, K., Garg, H., Saha, A., Singh, N., Choudhary, N.K., Singh, D.K.(2022). Solar Energy Forecasting using Artificial Neural Network . 2022 IEEE Students Conference on Engineering and Systems Sces 2022.

Sharma, D., Singhal, T.K., Singh, D.(2022). Threat Intelligence Model to Secure IoT Based Body Area Network and Prosthetic Sensors . Ecs Transactions. 107. (1). p. 15417-15425.

Ahmad, N., Gupta, A., Singh, D.(2022). Using Deep Transfer Learning to Predict Student Engagement in Online Courses . Communications in Computer and Information Science. 1763 CCIS. p. 27-36.

Kshatri, S.S., Singh, D., Sisodia, D.S.(2021). Multiple aggregation model using Ensembles Classifier for feature selection: A Homogeneous Approach . 2021 IEEE International Conference on Technology Research and Innovation for Betterment of Society Tribes 2021.

Kumar, R., Singh, D.K., Mishra, A.K.(2020). An approach to extract fine detail and unclear information by enhancing computed tomography image . 2nd International Conference on Data Engineering and Applications Idea 2020.

Rai, D., Thakkar, H.K., Singh, D., Bathala, H.V.(2020). Machine Learning Assisted Automatic Annotation of Isovolumic Movement and Aortic Valve Closure using Seismocardiogram Signals . 2020 IEEE 17th India Council International Conference Indicon 2020.

Kumar, R., Mishra, A.K., Singh, D.K.(2020). Packet loss avoidance in mobile adhoc network by using trusted ldos techniques . 2nd International Conference on Data Engineering and Applications Idea 2020.

Sajwan, M., Singh, D., Rathor, V.S., Singh, S.(2020). Tolerance Satisfiability Sequences for Image Similarity . Proceedings IEEE 2020 2nd International Conference on Advances in Computing Communication Control and Networking Icacccn 2020. p. 1002-1007.

Singh, D., Sisodia, D.S., Singh, P.(2019). An empirical analysis of instance-based transfer learning approach on protease substrate cleavage site prediction . Advances in Intelligent Systems and Computing. 748. p. 59-70.

Singh, D.K., Tomar, K.(2018). A Robust Color Image Encryption Algorithm in Dual Domain Using Chaotic Map . Proceedings of the International Conference on Inventive Communication and Computational Technologies Icicct 2018. p. 931-935.

Singh, D., Agrawal, A., Gupta, R.(2018). Power Management in Solar PV Fed Microgrid System with Battery Support . 2017 14th IEEE India Council International Conference Indicon 2017.

Pandey, A., Bajpai, A., Singh, D., Kumar, R.(2015). A fuzzy-timestamp based adaptive gateway discovery protocol in integrated Internet-MANET . 2015 International Conference on Advances in Computing Communications and Informatics Icacci 2015. p. 1268-1273.

Pandey, A., Singh, D., Bajpai, A., Kumar, R.(2015). Survey of adaptive gateway discovery mechanisms . 2015 1st International Conference on Futuristic Trends in Computational Analysis and Knowledge Management Ablaze 2015. p. 432-437.

Singh, D.K., Mishra, K.K., Tiwari, S., Misra, A.K.(2012). Improving the reliability of communication network using memetic algorithm . Proceedings of the 2012 International Conference on Artificial Intelligence Icai 2012. 2. p. 1059-1063.

Singh, V., Singh, D., Tiwari, R., Shukla, A.(2011). Discrete optimization problem solving with three variants of hybrid binary particle swarm optimization . 8th International Conference on Autonomic Computing Icac 2011 Co Located Workshops Proceedings of the 3rd Workshop on Biologically Inspired Algorithms for Distributed Systems Bads 2011. p. 43-48.

Singh, V., Tiwari, R., Singh, D., Shukla, A.(2011). RGBCA-genetic bee colony algorithm for travelling salesman problem . Proceedings of the 2011 World Congress on Information and Communication Technologies Wict 2011. p. 1002-1008.

JOURNAL ARTICLE

Kumar, A., Singh, D.(2025). Bi-level deep feature synthesis through variational autoencoder for predicting peptide antiviral activity using optimized deep ensemble . Expert Systems with Applications. 286.

Kumar, K.S., Singh, D., Anand, V.(2025). FSAIL: Fault-Resilient Single Anchor Based Iterative Localization Scheme in Underwater Acoustic Sensor Network for IoUT Application . Wireless Personal Communications. 141. (1). p. 395-423.

Shukla, A.K., Dwivedi, S., Singh, D., Singh, S.K., Tripathi, D., Dewangan, R.K.(2025). Optimized breast cancer diagnosis using self-adaptive quantum metaheuristic feature selection . Scientific Reports. 15. (1).

Kumar, K.S., Singh, D., Anand, V.(2024). Dcaro: Dynamic cluster formation and AUV-aided routing optimization for energy-efficient UASNs . Peer to Peer Networking and Applications. 17. (5). p. 3335-3352.

Sharma, A., Singh, D., Misra, R.(2024). Examining Resistance of Adoption to Innovation in Emerging Markets: A Study on Electric Cars in India . Fiib Business Review.

Kumar, A., Singh, D.(2024). Generative Adversarial Network-Based Augmentation with Noval 2-step Authentication for Anti-coronavirus Peptide Prediction . IEEE ACM Transactions on Computational Biology and Bioinformatics. p. 1-13.

Singh, S.P., Chugh, U., Singh, D.K., Kumar, A., Kaur, K.P., Rakesh, N., Singh, G.(2024). Performance analysis of electromagnetic nano-communication with interference over dual selection combining diversity technique . Iet Communications. 18. (20). p. 1765-1777.

Shukla, A., Tripathi, S., Sajwan, M., Singh, D.(2024). SEE2PK: Secure and energy efficient protocol based on pairwise key for hierarchical wireless sensor network . Peer to Peer Networking and Applications. 17. (2). p. 701-721.

Sunil Kumar, K., Singh, D., Anand, V.(2024). Strategic Node Deployment Scheme for Maximizing Coverage Area and Network Lifetime in UASNs Using Voronoi-Fuzzy C-Means and Salp Swarm Optimization . IEEE Sensors Journal. 24. (10). p. 16926-16934.

Sharma, A., Singh, D., Misra, R.(2024). The Role of Positive Anticipated Emotions in Influencing Purchase Intentions of Battery Electric Cars in Emerging Markets . Journal of International Consumer Marketing. 36. (2). p. 132-150.

Singh, D., Qadir, A.(2023). Al-Chef Cafeteria: dilemma of market expansion post-pandemic . Emerald Emerging Markets Case Studies. 13. (4). p. 1-28.

Kshatri, S.S., Singh, D.(2023). Convolutional Neural Network in Medical Image Analysis: A Review . Archives of Computational Methods in Engineering. 30. (4). p. 2793-2810.

Shukla, M., Misra, R., Singh, D.(2023). Exploring relationship among semiotic product packaging, brand experience dimensions, brand trust and purchase intentions in an Asian emerging market . Asia Pacific Journal of Marketing and Logistics. 35. (2). p. 249-265.

Rathor, V.S., Singh, D., Singh, S., Sajwan, M.(2023). Multi-Objective Optimization Based Test Pattern Generation for Hardware Trojan Detection . Journal of Electronic Testing Theory and Applications JETTA. 39. (3). p. 371-385.

Yusuf, M.O., Srivastava, D., Singh, D., Rathor, V.S.(2023). Multiview deep learning-based attack to break text-CAPTCHAs . International Journal of Machine Learning and Cybernetics. 14. (3). p. 959-972.

Shukla, A., Singh, D., Sajwan, M., Verma, A., Kumar, A.(2022). A source location privacy preservation scheme in WSN-assisted IoT network by randomized ring and confounding transmission . Wireless Networks. 28. (2). p. 827-852.

Singh, S., Singh, D., Sajwan, M., Rathor, V.S., Garg, D.(2022). Hyperspectral image classification using multiobjective optimization . Multimedia Tools and Applications. 81. (18). p. 25345-25362.

Shukla, A., Singh, D., Sajwan, M., Kumar, M., Kumari, D., Kumar, A., Panthi, M.(2022). SLP-RRFPR: a source location privacy protection scheme based on random ring and limited hop fake packet routing for wireless sensor networks . Multimedia Tools and Applications. 81. (8). p. 11145-11185.

Kshatri, S.S., Singh, D., Narain, B., Bhatia, S., Quasim, M.T., Sinha, G.R.(2021). An Empirical Analysis of Machine Learning Algorithms for Crime Prediction Using Stacked Generalization: An Ensemble Approach . IEEE Access. 9. p. 67488-67500.

Shukla, A.K., Pippal, S., Singh, D., Reddy, S.R.(2021). An evolutionary-based technique to characterise an anomaly in internet of things networks . International Journal of Internet Technology and Secured Transactions. 11. (5-6). p. 452-469.

Singh, D., Shukla, A., Sajwan, M.(2021). Deep transfer learning framework for the identification of malicious activities to combat cyberattack . Future Generation Computer Systems. 125. p. 687-697.

Singh, D., Sisodia, D.S., Singh, P.(2020). Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease . Journal of Biomedical Informatics. 102.

Singh, D., Sisodia, D.S., Singh, P.(2020). Multi-objective evolutionary approach for the performance improvement of learners using ensembling feature selection and discretization technique on medical data . Current Medical Imaging Reviews. 16. (4). p. 355-370.

Singh, D., Sisodia, D.S., Singh, P.(2020). Multiobjective evolutionary-based multi-kernel learner for realizing transfer learning in the prediction of HIV-1 protease cleavage sites . Soft Computing. 24. (13). p. 9727-9751.

Singh, D., Singh, S.(2020). Realising transfer learning through convolutional neural network and support vector machine for mental task classification . Electronics Letters. 56. (25). p. 1375-1378.

Singh, D., Sisodia, D.S., Singh, P.(2019). Cognitive Framework for HIV-1 Protease Cleavage Site Classification Using Evolutionary Algorithm . Arabian Journal for Science and Engineering. 44. (11). p. 9007-9027.

Singh, D., Singh, P., Singh Sisodia, D.(2019). Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction . Artificial Intelligence in Medicine. 101.

Singh, D., Singh, P., Sisodia, D.S.(2019). Evolutionary based ensemble framework for realizing transfer learning in HIV-1 Protease cleavage sites prediction . Applied Intelligence. 49. (4). p. 1260-1282.

Misra, R., Singh, S., Singh, D.(2018). Analysing the Role of Consumer Ethnocentrism and Social Responsibility in the Preference of Ayurvedic Products . Management and Labour Studies. 43. (4). p. 263-276.

Singh, D., Singh, P., Sisodia, D.S.(2018). Evolutionary based optimal ensemble classifiers for HIV-1 protease cleavage sites prediction . Expert Systems with Applications. 109. p. 86-99.

Singh, K., Kumar, S., Singh, S., Mishra, V., Sharma, P., Singh, D.(2018). Impacted mandibular third molar: Comparison of coronectomy with odontectomy . Indian Journal of Dental Research. 29. (5). p. 605-610.

Misra, R., Singh, D.(2016). An analysis of factors affecting growth of organic food: Perception of consumers in Delhi-NCR (India) . British Food Journal. 118. (9). p. 2308-2325.

Yadav, S., Sonone, R.M., Jaiswara, C., Bansal, S., Singh, D., Rathi, V.C.(2016). Long-term follow-up of trigeminal neuralgia patients treated with percutaneous balloon compression technique: A retrospective analysis . Journal of Contemporary Dental Practice. 17. (3). p. 263-266.

Misra, R., Singh, D.(2016). An analysis of factors affecting growth of organic food: Perception of consumers in Delhi-NCR (India) . British Food Journal. 118. (9). p. 2308-2325.

Singh, V., Singh, D., Tiwari, R., Shukla, A.(2012). MDABC: Motif discovery using artificial bee colony algorithm . Journal of Information Technology Research. 5. (4). p. 30-47.

BOOK

Raza, K., Barh, D., Singh, D., Ahmad, N.(2024). Deep Learning Applications in Translational Bioinformatics . Deep Learning Applications in Translational Bioinformatics. p. 1-279.

Raza, K., Ahmad, N., Singh, D.(2024). Preface . Studies in Computational Intelligence. 1177. p. vii-viii.

Garg, L., Sisodia, D.S., Singh, D., Kesswani, N., Brigui, I., Vella, J.G., Misra, S.(2023). Preface . Lecture Notes in Networks and Systems. 671 LNNS. p. v-vi.

BOOK CHAPTER

Taunk, S., Singh, D., Khalid, M.(2024). Deep learning methods for protein classification . Deep Learning Applications in Translational Bioinformatics. p. 97-107.

Kumar, A., Singh, D., Singh, S., Sharma, S.(2024). Multiview learning with shallow 1D-CNN for anticancer activity classification of therapeutic peptides . Deep Learning Applications in Translational Bioinformatics. p. 79-95.

Singh, D.K., Jha, S.K., Kumar, I., Mohd, N.(2024). Swarm intelligence-based optimisation and its application in computational convergence in electronic health records . Computational Convergence and Interoperability in Electronic Health Records Ehr. p. 175-194.

Kshatri, S.S., Singh, D., Goswami, T., Sinha, G.R.(2022). Introduction to statistical modeling in machine learning . Statistical Modeling in Machine Learning Concepts and Applications. p. 1-21.

Singh, S.P., Singh, D.K.(2020). Differential evolution algorithm using enhance-based adaption mutant vector . Lecture Notes in Networks and Systems. 94. p. 227-235.

Singh, D., Sisodia, D.S., Singh, P.(2020). Evolutionary intelligence-based feature descriptor selection for efficient identification of anti-cancer peptides . Handbook of Research on Advancements of Artificial Intelligence in Healthcare Engineering. p. 176-191.

Kumar, V., Singh, N., Singh, D.K., Mohanty, S.R.(2018). Short-term electricity price forecasting using hybrid SARIMA and GJR-GARCH model . Lecture Notes on Data Engineering and Communications Technologies. 3. p. 299-310.

OTHER

level-one heading

Healthcare AI & Clinical Data Science Expert | ML Pipelines | AI Proof-of-Concept | Faculty @ NIT Raipur

Assistant Professor

National Institute of Technology Raipur

Associate Research Fellow

NIT Raipur

PhD

National Institute of Technology Raipur