National Institute of Technology Sikkim
  Department of Computer Science and Engineering
  संगणक विज्ञान एवं अभियांत्रिकी विभाग

Dr. Bam Bahadur Sinha

Assistant Professor

bambahadursinha@nitsikkim.ac.in     +91-9046227905

Research Interest : Artificial Intelligence & Machine Learning, Deep Learning, Optimization Techniques, Recommender Systems, Generative AI

About
Publications
Extras

Experience

Assistant Professor, National Institute of Technology Sikkim – Dec’2023 - Present
Teachings
  1. Fundamentals of Data Science
  2. Machine Learning
  3. Deep Learning
  4. Operating Systems
  5. Data Structure
  6. Design and Analysis of Algorithms
  7. Fundamentals of Programming
  8. Generative AI

Education
PhD (Computer Science and Engineering, National Institute of Technology, Nagaland
M.Tech (Computer Science and Engineering, National Institute of Technology Nagaland) – Gold Medal
B.Tech (Computer Science and Engineering), Lovely Professional university, Punjab
Contact Address :
Dept. of Computer Science and Engineering
National Institute of Technology Sikkim
Barfung Block, Ravangla, South Sikkim-737139
Google Scholar:   Click here
Journals
  1. Sagar Badrish Kudkelwar, B. B. Sinha, Sravan Kumar Gunturi,"An Archimedes metaheuristic algorithm based optimum relay coordination in Microgrid and combined overhead/cable distribution network", Journal of Supercomputing, 2023. 79, pages 21166-21184 https://doi.org/10.1007/s11227-023-05486-8

  2. Balakrishnan K, Dhanalakshmi R, B. B. Sinha, Gopalakrishnan R "Clock Synchronization in Industrial Internet of Things and Potential Works in PTP: Review, Challenges and Future Directions", International Journal of Cognitive Computing in Engineering, Vol 4, 205-219, 2023. https://doi.org/10.1016/j.ijcce.2023.06.001

  3. B. B. Sinha, Mohammad Ahsan and R. Dhanalakshmi, "LightGBM Empowered by Whale Optimization for Thyroid Disease Diagnosis, International Journal of Information Technology, 2053-2062, 15, 2023. https://doi.org/10.1007/s41870-023-01261-3

  4. R Dhanalakshmi, B. B. Sinha, K Balakrishnan and R Gopalakrishnan, "Tomato Leaf Disease Identification by modified Inception based Sequential Convolution Neural Networks", Imaging Science, 71(2), 408-424, 2023. https://doi.org/10.1080/13682199.2023.2183318

  5. K. Balakrishnan, R Dhanalakshmi, M. Akila, B. B. Sinha, "Improved Equilibrium Optimization based on Levy Flight Approach for Feature Selection", Evolving Systems, 14, 735-746, 2023. https://doi.org/10.1007/s12530-022-09461-1

  6. Ms. Valarmathi P, Dr. R Dhanalakshmi, Narendran Rajagopalan, B. B. Sinha, Diversification-oriented accuracy prediction in Recommender Systems, International Journal of Industrial and Systems Engineering, Inderscience, 41(2), 206-220, 2022.
    https://doi.org/10.1504/IJISE.2022.123583

  7. Pratik Agarwal, and B. B. Sinha, "Scalable RDF Clustering: A distributed approach for analyzing knowledge graphs using minHash Locality Sensitive Hashing", Concurrency and Computation: Practice and Experience, Wiley, 34(15), 1-17, 2022.
    https://doi.org/10.1002/cpe.6966

  8. B. B. Sinha and R. Dhanalakshmi, "DNN-MF: Deep Neural Network Matrix Factorization Approach for Filtering Information in Multi-Criteria Recommender Systems", Neural Computing and Applications, 34, 10807-10821, 2022 https://doi.org/10.1007/s00521-022-07012-y

  9. B. B. Sinha, R. Dhanalakshmi and V. S. Chaitanya, "Diversifying the predictions in the recommender systems, "International Journal of Business Information Systems, Inderscience, Print 1746-0972 & Online 1746-0980, Vol. 38 No. 2, pp. 168-178, 2021.
    https://doi.org/10.1504/IJBIS.2021.119183

  10. B. B. Sinha and R. Dhanalakshmi, "An effective movie recommender system enhanced with time series analysis of user rating behavior," International Journal of Mathematics in Operational Research, Inderscience, Print 1757-5850 & Online 1757-5869, Vol. 19, No. 3, pp. 317-331, 2021. https://doi.org/10.1504/IJMOR.2020.10032451

  11. B. B. Sinha and Dr. R. Dhanalakshmi, "Building an adaptive recommendation model based on fuzzy MP neuron and weighted similarity indicator," Journal of Information Science and Engineering, Institute of Information Science, Academia Sinica, ISSN 1016-2364, Vol. 37, pp. 281-293, 2021. https://doi.org/10.6688/JISE.202103_37(2).0001

  12. B. B. Sinha and R. Dhanalakshmi, "Recent advancements and challenges of Internet of Things in smart agriculture: A survey", Future Generation Computer Systems, Vol. 126, pp. 169-184, 2021 https://doi.org/10.1016/j.future.2021.08.006

  13. B. B. Sinha and R Dhanalakshmi, "Building a Fuzzy Logic-Based Artificial Neural Network to Uplift Recommendation Accuracy", The Computer Journal, Vol. 63, Issue 11, pp. 1624-1632, 2020. https://doi.org/10.1093/comjnl/bxz086

  14. B. B. Sinha and R Dhanalakshmi, "A recommender system based on a new similarity metric and upgraded crow search algorithm," Journal of Intelligent & Fuzzy Systems, IOS Press. Vol. 39, pp. 3167-3182, 2020. https://doi.org/10.3233/JIFS-191594

  15. B. B. Sinha and R. Dhanalakshmi, "Building a fuzzy logic-based McCulloch-Pitts Neuron recommendation model to uplift accuracy," The Journal of Supercomputing, Springer, 77, 2251-2267, 2020. https://doi.org/10.1007/s11227-020-03344-5

  16. B. B. Sinha, R. Dhanalakshmi and R. Regmi, "TimeFly algorithm: A novel behavior inspired movie recommendation paradigm," Pattern Analysis and Applications, Springer, ISSN 1433-755X, Vol. 23, pp. 1727-1734, 2020. https://doi.org/10.1007/s10044-020-00883-8

  17. B. B. Sinha and R. Dhanalakshmi, "Evolution of recommender system over the time," Soft Computing, Springer, Print ISSN 1432-7643 & Online ISSN 1433-7479, Vol. 23, no. 23, pp. 12169-12188, 2019. https://doi.org/10.1007/s00500-019-04143-8

  18. R. Dhanalakshmi and B. B. Sinha, "Hybrid Cohort Rating Prediction Technique to leverage Recommender System," Journal of Scientific & Industrial Research, NISCAIR, Print ISSN 0022-4456 & Online ISSN 0975-1084, Vol. 78, pp. 411-414, 2019. https://nopr.niscair.res.in/handle/123456789/48791

  19. B. B. Sinha and R. Dhanalakshmi, "Evolution of recommender paradigm optimization overtime," Journal of King Saud University-Computer and Information Sciences, Elsevier, 34(4), 1047-1059, 2019. https://doi.org/10.1016/j.jksuci.2019.06.008.

  20. Mohammad Ahsan, Anam Khan, Kaif Rehman Khan, B. B. Sinha, Anamika Sharma "Advancements in medical diagnosis and treatment through machine learning: A review", Expert Systems - Wiley https://doi.org/10.1111/EXSY.13499

  21. Kevisino Khate, B. B. Sinha, and Arambam Neelima, "A Novel Approach to COVID-19 Diagnosis: Flower Pollination-Enhanced CNN for Chest X-ray Analysis" – The Computer Journal Volume 67, Issue 11, November 2024, Pages 3080–3093. https://doi.org/10.1093/comjnl/bxae071

  22. B. B. Sinha and R Dhanalakshmi, “A Multi-Fused Convolutional Neural Network Model for Fruit Image Classification”, International Journal of Cognitive Computing in Engineering, Vol. 5, 416-424, 2024 https://doi.org/10.1016/j.ijcce.2024.09.003

  23. B. B. Sinha, Ramnish Sinha, Vishnu Priye, “Beyond Classical Approaches: Redefining the Landscape of High-Accurate Movie Recommendation using QNN”, The Journal of Supercomputing, 2024, 81 (347), 1-30. https://doi.org/10.1007/s11227-024-06746-x

  24. Mohammad Ahsan, and B. B. Sinha, “An Efficient Rumor Detection Model based on Deep Learning and Flower Pollination Algorithm”, Knowledge and Information Systems, 2025, 67, 2691–2719. https://doi.org/10.1007/s10115-024-02305-1

  25. Satyam Kumar, B. B. Sinha, and Priyank Khare, “A coherent analytical model to strengthen vehicular communication in VANET using droptail priority queue”, Journal of The Institution of Engineers (India): Series B, 2025 https://doi.org/10.1007/s40031-025-01206-3

  26. Arti Bahuguna, Gopa Bhaumik, B. B. Sinha, Mahesh Chandra Govil, “A Hybrid Approach for Static Hand Gesture Recognition: Integrating Directional Adaptive Patterns with Multi-Scale Feature Extraction and Aggregation”, Engineering Applications of Artificial Intelligence, 2025

  27. Sujit Kumar and B. B. Sinha, “Enhanced Fault Diagnosis of Rolling Bearings with Noise Filtering and Neural Networks”, Journal of Vibration Engineering & Technologies, 2025.

International Conferences(s)
  1. Subhadeep Paul, Suman Das, B. B. Sinha, Pankaj Kumar Kesarwani, “Semantic Segmentation of Stylized Pokemon Sketches using DeepLabV3”, 10th International Conference on Computer Vision & Image Processing (CVIP 2025).

  2. Sanjeev Singh and B. B. Sinha, “Benchmarking Alzheimer’s Disease Detection: A Study on VGG16, SVM, and Regularized CNN Models”, Information Technology and Artificial Intelligence (ITAI 2025).

  3. Poornima Bhatt, Alongbar Wary, and B. B. Sinha, “CNN-Driven Deepfake Detection: Safeguarding Media Integrity through Advanced Image Analysis”, 5th International Conference on Paradigms of Communication, Computing and Data Analytics (PCCDA 2025).

  4. Allu Sudharshan Rao and B. B. Sinha, “Towards Accessible Neurodegenerative Disease Diagnostics: Deep Learning Models for Alzheimer’s Detection”, IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2025) – DOI: https://doi.org/10.1109/IATMSI64286.2025.10984866

  5. Prajjval Govil and B. B. Sinha, “Deep Learning-Based Retinal Image Classification for Glaucoma Detection”, First International Conference on Emerging Technologies and Computing Innovations (ICETCI-2025).

  6. Shriyaa Gupta, Shreya Singhal, Shreya Ganjoo, Alongbar Wary and B. B. Sinha, “Systematic Review of Blood Cancer Detection”, 6th International Conference on Data Analytics & Management (ICDAM-2025).

  7. Abhishek Kumar, B. B. Sinha and Alongbar Wary, “Cyberbullying Detection with Machine Learning: A Comparative Analysis of Key Bullying Features”, 2nd International Conference on Advances in IOT and Security with AI (ICAISA-2025).

  8. Ayush Shaurya Jha, Tanishq Rajoria, B. B. Sinha, and Alongbar Wary, “Deepfake Detection with Multi-Fusion and Residual Learning in Deep CNNs”, 5th International Conference on Computer Vision and Robotics, (CVR 2025).

  9. Saumya Ranjan, B. B. Sinha, and Arti Bahuguna, “Bridging Visual Understanding and Language Generation: A Deep Learning Approach to Image Captioning”, 5th International Conference on Computer Vision and Robotics, (CVR 2025).

  10. Bidisha Rajnandini, B. B. Sinha, “Image Restoration via Atmospheric Scattering Models and Deep Learning Techniques”, 6th International Conference on Data Science and Applications, 2025 (ICDSA 2025).

  11. Nisha Rajawat, B. B. Sinha, “A Hybrid Optimization Approach for Android Malware Detection: Integrating Harris Hawk Optimization and Differential Evolution”, 6th International Conference on Data Science and Applications, 2025 (ICDSA 2025).

  12. Yangpun Achok Lepcha, B. B. Sinha, “Blockchain Based Architecture for Secure and Reliable Agriculture Chain Traceability”, 6th International Conference on Data Science and Applications, 2025 (ICDSA 2025).

  13. Amitesh Patel, Aman Kapoor, Mrinmoy Mahato, Subhradeep Raut, and B. B. Sinha, "Enhancing rumour Detection: A Hybrid Deep Learning Approach with ELMo Embeddings & CNN", IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation - (IATMSI-2024)

  14. Arkajit Banerjee, and B. B. Sinha, "From Sparsity to Accuracy: Enhancing Recommendation Systems with Item-Based Collaborative Filtering and SVD Matrix Factorization", 4th International Conference on "Emerging Trends and Technologies on Intelligent Systems"- (ETTIS-2024).

  15. A. Rajhans, T. Das, A. Kumar and B. B. Sinha, "Exploring the Impact of Financial News Sentiment on Stock Price Forecasting: A Comparative Deep Learning Approach," 2024 1st International Conference on Communications and Computer Science (InCCCS), Bangalore, India, 2024, pp. 1-6. DOI: https://doi.org/10.1109/InCCCS60947.2024.10593315

  16. Anirban Porya, Varun Singh, B. B. Sinha, “Towards Robust Fake News Detection: An Empirical Investigation of Preprocessing and Modeling Techniques”, 2024 International Conference on Computational Intelligence and Computing Applications (ICCICA - 2024). DOI: https://doi.org/10.1109/ICCICA60014.2024.10584903

  17. Nithish Chouti, Sakshi Kusale, Sanket Mishra, Shashank Rajora, B. B. Sinha, Prabhu Prasad B M, Manjunath K V, “Enhancing Multi-Criteria Recommendation Systems with Hot Deck Imputation and User-Specific Similarity Measures”, 2nd International Conference on Artificial Intelligence: Theory and Applications (AITA 2024). DOI: https://doi.org/10.56155/978-81-955020-9-7-30

  18. Karan Raaj, Milind Murmu, Shravya N Kanalli, Tanush Korgaokar, Manjunath K V, Prabhu Prasad, B. B. Sinha, “Integrating Context and Criteria in Hotel Recommendations: A Deep Learning Perspective”, 1st International Conference on Computing, Sciences & Communications – 2024. DOI: https://doi.org/10.1109/ICCSC62048.2024.10830411

  19. Nithish Chouti, Sakshi Kusale, Sanket Mishra, Shashank Rajora, Prabhu Prasad B M, B. B. Sinha, Manjunath K V, “Deep Learning-Based Multi-Criteria Recommender System: Leveraging Autoencoders for Improved Personalization”, 1st International Conference on Computing, Sciences & Communications – 2024. DOI: https://doi.org/10.1109/ICCSC62048.2024.10830367

  20. Kumari Samridhi, B. B. Sinha, Trinanjan Das, “Optimizing User Recommendations with Variational Autoencoders: Insights from MovieLens-1M and BookCrossing Datasets”, 3rd IEEE International Conference on Computer Vision and Machine Intelligence (IEEE CVMI) – 2024. DOI: https://doi.org/10.1109/CVMI61877.2024.10782360

  21. Karan Raaj, Milind Murmu, Shravya N Kanalli, Tanush Korgaokar, B. B. Sinha, Manjunath K V, Prabhu Prasad, “CSSVD: A Novel Context-Aware Recommendation Algorithm to Address Cold Start and Data Sparsity”, International Conference on Robotics, Control, Automation & Artificial Intelligence (RCAAI 2024).

  22. Aman Kapoor and B. B. Sinha, “Object Detection in Maritime Surveillance: A Data-Centric Comparison of YOLO and Transformer-Based Models”, International Conference on Information and Communication Technology (CICT) 2024. DOI: https://doi.org/10.1109/CICT64037.2024.10899718

  23. B. B. Sinha and R. Dhanalakshmi, "Efficient cohort nearest neighbor (CNN) technique to leverage recommender systems," in 2018 International Conference on Advances in Computing and Communication Engineering (ICACCE), Paris, France, IEEE, pp. 273-277, 2018. https://doi.org/10.1109/ICACCE.2018.8441755

  24. Kudkelwar, S., and B. B. Sinha (2022). "Levy Flight-Based Crow Search Algorithm for Optimum Protection Coordination in Combined Overhead/Cable Distribution System", Sustainable Technology and Advanced Computing in Electrical Engineering. (ICSTACE 2021), Lecture Notes in Electrical Engineering, vol 939. Springer, Singapore. https://doi.org/10.1007/978-981-19-4364-5_55

  25. Vikash Kumar, and B. B. Sinha, "Skin Cancer Classification for Dermoscopy Images using model based on Deep Learning and Transfer Learning", International Conference on Computational Intelligence and Data Analytics (ICCIDA)'2021-Computational Intelligence and Data Analytics pp 257-271 Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, Volume 142). (Best Paper Award) https://doi.org/10.1007/978-981-19-3391-2_19

  26. B. B. Sinha, and Tarun Biswas, "An efficient framework for forecasting of crime trend using machine learning technique", 3rd International Conference on Data Science and Applications (ICDSA 2022).-Proceedings of International Conference on Data Science and Applications, Lecture Notes in Networks and Systems 552. https://doi.org/10.1007/978-981-19-6634-7_52

  27. B. B. Sinha, and R. Dhanalakshmi, "A systematic modelling of recommender system using derivative imitation of SVD and regression analysis", IEEE International conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2022) https://doi.org/10.1109/IATMSI56455.2022.10119255

  28. B. B. Sinha, and R. Dhanalakshmi, "Mining User Interest using Bayesian-PMF and Markov Chain Monte Carlo for Personalized Recommendation Systems", International Conference on Innovations in Data Analytics (ICIDA 2022)- (Best Paper Award) https://doi.org/10.1007/978-981-99-0550-8_9

  29. Amardeep Saha, and B. B. Sinha, "An exploration of Blockchain Technology from the perspective of applicability, limitations, and opportunities", International Conference on Recent Advances in Computer Science and Engineering (ICRACSE-2022). - (Best paper Award) https://doi.org/10.1201/9781003371380

  30. B. B. Sinha, R Dhanalakshmi, and K Balakrishnan, "A Manifold D-CNN Architecture for Contrastive Disease Classification Based on Respiratory Sounds", International Conference on Advanced Network Technologies and Intelligent Computing ANTIC-2022 https://doi.org/10.1007/978-3-031-28183-9_5

  31. Chirag Goel, and B. B. Sinha, "Rethinking and Unravelling the Complexity of Breast Cancer: An Integrative Approach to Detection and Diagnosis", 8th International Conference on Computing in Engineering and Technology, NIT Patna, 2023. -ICCET 2023 https://doi.org/10.1049/icp.2023.1487

  32. Trinanjan Das and B. B. Sinha, "A Comprehensive Study on Machine Learning Methods for Predicting Heart Disease: A Comparative Analysis", 8th International Conference on Computing in Engineering and Technology, NIT Patna, 2023. - ICCET 2023 https://doi.org/10.1049/icp.2023.1491

  33. Chirag Goel and B. B. Sinha, "Cross-Domain Collaborative Filtering: A Deep Neural Network Approach for Accurate and Diverse Recommendations", International Conference on Machine Learning and Data Engineering (ICMLDE 2023)

  34. Pradipto Chowdhury and B. B. Sinha, "Evaluating the Effectiveness of Collaborative Filtering Similarity Measures: A Comprehensive Review", International Conference on Machine Learning and Data Engineering (ICMLDE 2023)

  35. Chirag Goel and B. B. Sinha, "Cross Domain Collaborative Filtering: A Graph Neural Network Approach for Accurate and Diverse Recommendations", International Conference on Data Science, Agents and Artificial Intelligence 2023 (ICDSAAI2023)

  36. Siftain Ahmad, Kasula Gnyani, Abhishek Rajhans, and B. B. Sinha, "Advancements in Alzheimer's Disease Diagnosis: The MRI-CNN Synergy for Early Detection" - 3rd International Conference on Advanced Network Technologies and Intelligent Computing - ANTIC 2023.

International Book Chapters(s)
  1. Dev Narula, Shalini Mahato, B. B. Sinha, R. Badlishah Ahmad, “Intelligent Heart Disease Prediction using Machine Learning”, Artificial Intelligence based Solutions for Industrial Applications, Taylor & Francis, 2024. ISBN 9781032548012. DOI: https://doi.org/10.1201/9781003534761-15

  2. Joseph Nixon Kiro, B. B. Sinha, Madhu Kumari and Shalini Mahato, “Detection of attention deficit hyperactivity disorder using electroencephalogram signals: a review”, Artificial Intelligence: A tool for effective diagnostics, IOP Publishing, (4-1 to 4-18), 2024. ISBN: 978-0-7503-5964-1. DOI: https://doi.org/10.1201/9781003534761-15

  3. B. B. Sinha, R. Dhanalakshmi and K. Balakrishnan, "Early Diagnosis of Diabetic Retinopathy using Deep Learning Techniques", Computational Methods and Deep Learning for Ophthalmology, Elsevier, 17-33, 2023. https://doi.org/10.1016/B978-0-323-95415-0.00006-1

  4. B. B. Sinha, Alongbar Wary, R. Dhanalakshmi and K. Balakrishnan, “Transfer Learning based Detection of Retina Damage from Optical Coherence Tomography Images”, Computational Methods and Deep Learning for Ophthalmology, Elsevier, 71-88, 2023. https://doi.org/10.1016/B978-0-323-95415-0.00002-4

  5. B. B. Sinha, Gurvinder Singh Yadav, and Sagar Badrish Kudkelwar, "Modified-PIP with Deep Neural Network (DNN) Architecture: A Coherent Recommendation Framework for Capturing User Behaviour" (SMDA 2021), Deep Learning for Social Media Data Analytics, Springer book series "Studies in Big Data", Springer, Cham Vol. 113, 121-140, 2022. https://doi.org/10.1007/978-3-031-10869-3_7

Book(s)
  1. Shalini Mahato, B. B. Sinha, Jayadeep Pati, Joel Rodrigues, “Global Mental Health and Public Health Challenges and Innovation”, - First International Conference, GMHPHCI 2022, Jharkhand, India, November 25–27, 2022, Proceedings, Communications in Computer and Information Science (CCIS, volume 2327). eBook ISBN: 978-3-031-82603-0, Print ISBN: 978-3-031-82602-3. https://doi.org/10.1007/978-3-031-82603-0

  2. B. B. Sinha, and R. Dhanalakshmi, “Panorama of Deep Learning Based Recommender System: Development & Challenges” – Central West Publishing (CWP), Australia, ISBN: 9781922617545, 2023. https://mitpressbookstore.mit.edu/book/9781922617545

Copyright(s)
  1. B. B. Sinha, "A novel Intelligent Crime-Abolisher System to make crime-free Jharkhand", L-135156/2023, Copyright Office, Government of India.

  2. B. B. Sinha and Aayush Mehta, "A novel sorting algorithm with theta (n) time complexity based on adaptive matching", L-134676/2023, Copyright Office, Government of India.

  3. B. B. Sinha and Sagar Badrish Kudkelwar, “Matrix Factorization in Recommender System, A Convex or Non-Convex Optimization problem”, L-107277/2021, Copyright Office, Government of India. – 3/09/2021

Patent(s)
  1. Shanu Khare, Navjot Singh Talwandi, Payal Thakur, B. B. Sinha, Alongbar Wary, Neelima Arambam, “Portable Water Quality Monitoring Device”, Intellectual Property India, Government of India. – Design Accepted and Published, Design No.: 447363-001

  2. Mohammad Ahsan, B. B. Sinha, “Machine Learning Based Stress Detection Device”, Intellectual Property India, Government of India. – Design Accepted and Published, 25/06/2023

  3. Sagar Badrish Kudkelwar, B. B. Sinha, Ramchandra Regmi, Anuj Khond, “Smart Relay”, Appl. No. 347952-001, Cbr No. 206397, Intellectual Property India, Government of India. – Design Accepted and Published, Journal No is 42/2021 and Journal Date is 15/10/2021

Professional Recognition/ Award
  1. Gold Medal in M.Tech (Department Topper)
  2. GATE qualified 2017, 2016, 2015
  3. Best Paper Award - International Conference on Computational Intelligence and Data Analytics (ICCIDA)'2021
  4. Best Paper Award - International Conference on Innovations in Data Analytics (ICIDA 2022)
  5. Best Paper Award - International Conference on Recent Advances in Computer Science and Engineering (ICRACSE-2022)
  6. Co-Convenor of International Conference on Global Mental Health and Public Health Challenges & Innovation (GMHPHCI-2022) at IIIT Ranchi - (25 Nov'2022 - 27 Nov'2022)
Administrative Activities
  1. Warden, Boys Hostel 2, NIT Sikkim - [Feb'2024 - Present]
  2. Faculty Advisor - BTech CSE at IIIT Ranchi - 4th Year - [April'2023 - Sept'2023]
  3. Executive MTech Program Coordinator at IIIT Ranchi - Design Thinking & Innovation - [Jan'2023 - Sept'2023]
  4. BoCS Coordinator - CSE at IIIT Ranchi - [March'2023 - Sept'2023]
  5. Faculty In-charge - Patents & External Projects at IIIT Ranchi- [April'2022 - Feb'2023]
  6. Faculty In-charge - ERP & MIS Management at IIIT Ranchi - [April'2022 - Feb'2023]
  7. Member of Career Guidance Cell at IIIT Dharwad - [Jan'2021 - December'2021]
  8. Member of Knowledge Research Center at IIIT Dharwad - [Jan'2021 - December'2021]
  9. CSE Association Coordinator at NIT Andhra Pradesh - [August'2020-May'2021]
  10. Training and Placement Secretary at NIT Nagaland - [August'2016 to May'2017]
Participation in Continuing Education Programs
  1. International Conference on Global Mental Health and Public Health Challenges & Innovation (GMHPHCI'2022), 25-27 Nov' 2022, Organized by Indian Institute of Information Technology Ranchi, Jharkhand. - Co-Convenor
  2. TiHAN sponsored Skill Development Program on "Webbing Data Science and Digital Humanities". [25th Oct' 21 - 29th Oct' 21] - Coordinator
  3. ATAL Faculty Development Programme on "Applied Machine Learning and Data Sciences". [17th May' 21 - 21st May' 21] - Coordinator
Projects
  1. Hal aur Hum - Smart Farmer Services - Indian Institute of Technology Roorkee - (March'2021 - December'2021) Description: With the world suffering from global crises like world-hunger, pollution and high rise in global population, we propose a one-stop mobile application solution for the agricultural sector. Our application focuses on serving farmers in developing countries, catering to their diverse agricultural practice needs, requirement of usability ease, and support for regional languages. Major objectives of the project included: Plant Leaf Disease Detection, Drone based Data Capturing, Minimizing the information gap, and Social Platform for Farmers.
  2. Digitalization of 14 Grenadiers Personal Records - Indian Army - (March'2022 - June'2022) Description: This project aimed to transform and streamline the personal records of the 14 Grenadiers through digital means. This initiative enabled efficient data management, easy access, and improved information security, ensuring the preservation and accessibility of crucial records for the regiment.