A. K. Maji
Contact

Dr. A. K. Maji

0364 2307930 - 3615
9436333083
akmaji@nehu.ac.in

Dr. A. K. Maji

Associate Professor

Department of Information Technology

Qualifications:

  • Ph.D. in Information Technology from Assam University, Silchar.
  • M.Tech. in Information Technology from Bengal Engineering and Science University, Shibpur (currently IIEST, Shibpur).
  • B.E. (Information Science and Engineering) from Jawaharlal Nehru National College of Engineering.

Professional & Teaching Experience

  • Associate Professor: Department of Information Technology, North-Eastern Hill University (July 2019 – Till Date)
  • Assistant Professor: Department of Information Technology, North-Eastern Hill University (July 2006 – July 2019)
  • Lecturer: Heritage Institute of Technology, Kolkata (September 2005 – July 2006)
  • Lecturer: MCKV Institute of Engineering (July 2004 – August 2005)

Administrative Experience & Responsibilities

  • Assistant Registrar In-Charge: Establishment and Estate Section, North-Eastern Hill University (March 2022 – November 2023)
  • Committee Roles: Member of Board of Studies (IT, Biomedical Engineering, Energy Enginering, NEHU and CSE at Assam University); Departmental NAAC Coordinator; Member, Board of Research Studies, NEHU, Coordinator for various B.Tech, M.Tech, and Ph.D. Admission Committees.

Research Summary & Publications

  • Core Research Domain: Computer Vision,  Natural Language Processing, Quantum
  • Research Metrics (as of 9th  July 2026):
    • Google Scholar: Citations: 3,261 | h-index: 25 | i10-index: 49
    • Scopus: Citations: 2,155 | h-index: 20
  • Publications Portfolio: 43 SCIE/Scopus Indexed Journal Papers, 4 Edited Books, and 60 Book Chapters.
  • Patents & Policy Documents: 3 National Patents Awarded, 1 International Patent Awarded, and 1 National Policy Document (Khasi Part-of-Speech Corpus).
  • Research Guidance: Sole/Joint supervision of 9 Ph.D. degrees awarded and 16 PG Dissertations completed.
  • Research Project (Completed): 2 (As Co-PI), 1 (As Mentor)

Professional Honors & Memberships

  • SciRank Global: Named in the Top 5% Scientist list (June 2026)
  • IEEE: Senior Member (December 2022)

Publications

Peer-Reviewed Journal Articles (Selected SCOPUS/SCIE Indexed Journal)

  1. Hassan, S. M., Nath, K., Jasinski, M., & Kumar Maji, A. (2025). AI-driven plant disease detection with tailored convolutional neural network. Network: Computation in Neural Systems. Advance online publication.
  2. Hazarika, R. A., Kumar Maji, A. (2025). An evaluation on changes in hippocampus size for cognitively normal, mild cognitive impairment, and Alzheimer's disease patients using fuzzy membership function. Innovations in Systems and Software Engineering, 21(1), 287–301.
  3. Mitri, A. M., Lyngdoh, E. L., Warjri, S., Lyngdoh, S. A., & Kumar Maji, A. (2025). Probing a pretrained RoBERTa on Khasi language for POS tagging. Natural Language Processing, 31(2), 230–249.
  4. Mukhim, B., Kumar Maji, A., & Das, S. (2025). Sentiment analysis with Khasi low-resource language through generation of sentiment words using machine learning. Computacion y Sistemas, 29(3), 1225–1236.
  5. Thabah, N. D. J., Mitri, A. M., Saha, G., Kumar Maji, A., & Purkayastha, B. S. (2025). A deep connection to Khasi language through pre-trained embedding. Innovations in Systems and Software Engineering, 21(1), 179–193.
  6. Hazarika, R. A., Kandar, D., & Kumar Maji, A. (2024). A novel machine learning based technique for classification of early-stage Alzheimer's disease using brain images. Multimedia Tools and Applications, 83(8), 24277–24299.
  7. Hassan, S. M., & Kumar Maji, A. (2024). Deep feature-based plant disease identification using machine learning classifier. Innovations in Systems and Software Engineering, 20(4), 789–799.
  8. Hassan, S. M., & Kumar Maji, A. (2024). Pest identification based on fusion of self-attention with ResNet. IEEE Access, 12, 6036–6050.
  9. Das, R. K., Ahmed, N., Kumar Maji, A., & Saha, G. (2023). Edge controller-assisted SDN architecture for Internet of Things. IEEE Sensors Journal, 23(22), 28182–28190.
  10. Das, R. K., Ahmed, N., Kumar Maji, A., & Saha, G. (2023). Nx-IoT: Improvement of conventional IoT framework by incorporating SDN infrastructure. IEEE Internet of Things Journal, 10(3), 2473–2482.
  11. Hazarika, R. A., Kumar Maji, A., Kandar, D., Leonowicz, Z. M., & Jasinski, M. (2023). An approach for classification of Alzheimer's disease using deep neural network and brain magnetic resonance imaging (MRI). Electronics, 12(3), Article 676.
  12. Jana, S., Mallik, M., Khan, A., Kumar Maji, A., & Pal, R. K. (2023). Design and analysis of a modified 3D Sudoku solver. IEEE Access, 11, 27352–27368.
  13. Das, R. K., Kumar Maji, A., & Saha, G. (2022). SD-6LN: Improved existing internet of things framework by incorporating software defined network approach. International Journal of Grid and Utility Computing, 13(4), 406–413.
  14. Hassan, S. M., & Kumar Maji, A. (2022). Plant disease identification using a novel convolutional neural network. IEEE Access, 10, 5390–5401.
  15. Hassan, S. M., Amitab, K., Jasinski, M., Novak, T., & Kumar Maji, A. (2022). A survey on different plant diseases detection using machine learning techniques. Electronics, 11(17), Article 2641.
  16. Hazarika, R. A., Kandar, D., & Kumar Maji, A. (2022). A deep convolutional neural networks based approach for Alzheimer's disease and mild cognitive impairment classification using brain images. IEEE Access, 10, 99066–99076.
  17. Hazarika, R. A., Kandar, D., & Kumar Maji, A. (2022). An experimental analysis of different deep learning based models for Alzheimer's disease classification using brain magnetic resonance images. Journal of King Saud University - Computer and Information Sciences, 34(10), 8576–8598.
  18. Hazarika, R. A., Kumar Maji, A., Sur, S. N., Olariu, I., & Kandar, D. (2022). A fuzzy membership based comparison of the grey matter (GM) in cognitively normal (CN), mild cognitive impairment (MCI), and Alzheimer's disease (AD) using brain images. Journal of Intelligent & Fuzzy Systems, 43(2), 1779–1792.
  19. Hazarika, R. A., Kumar Maji, A., Syiem, R., Sur, S. N., & Kandar, D. (2022). Hippocampus segmentation using U-Net convolutional network from brain magnetic resonance imaging (MRI). Journal of Digital Imaging, 35(4), 893–909.
  20. Wahlang, I., Kumar Maji, A., Saha, G., Leonowicz, Z. M., & Jasinska, E. (2022). Brain magnetic resonance imaging classification using deep learning architectures with gender and age. Sensors, 22(5), Article 1766.
  21. Wahlang, I., Hassan, S. M., Kumar Maji, A., Leonowicz, Z. M., & Jasinska, E. (2022). Classification of valvular regurgitation using echocardiography. Applied Sciences, 12(20), Article 10461.
  22. Warjri, S., Pakray, P., Lyngdoh, S. A., & Kumar Maji, A. (2022). Identification of POS tags for the Khasi language based on Brill's transformation rule-based tagger. Computacion y Sistemas, 26(2), 989–1005.
  23. Warjri, S., Pakray, P., Lyngdoh, S. A., & Kumar Maji, A. (2022). Part-of-Speech (POS) tagging using deep learning-based approaches on the designed Khasi POS corpus. ACM Transactions on Asian and Low-Resource Language Information Processing, 21(3), Article 63.
  24. Hassan, S. M., & Kumar Maji, A. (2021). Comparison of automated leaf recognition techniques. International Journal of Intelligent Enterprise, 8(2-3), 205–214.
  25. Hassan, S. M., Jasinski, M., Leonowicz, Z. M., Jasinska, E., & Kumar Maji, A. (2021). Plant disease identification using shallow convolutional neural network. Agronomy, 11(12), Article 2388.
  26. Hassan, S. M., Kumar Maji, A., Jasinski, M., Leonowicz, Z. M., & Jasinska, E. (2021). Identification of plant-leaf diseases using cnn and transfer-learning approach. Electronics, 10(12), Article 1388.
  27. Hazarika, R. A., Ajith, A. P., Kandar, D., & Kumar Maji, A. (2021). An improved LeNet-deep neural network model for Alzheimer's disease classification using brain magnetic resonance images. IEEE Access, 9, 161194–161207.
  28. Hazarika, R. A., Kumar Maji, A., Sur, S. N., Paul, B. S., & Kandar, D. (2021). A survey on classification algorithms of brain images in Alzheimer's disease based on feature extraction techniques. IEEE Access, 9, 58503–58536.
  29. Wahlang, I., Kumar Maji, A., Saha, G., Leonowicz, Z. M., & Jasinska, E. (2021). Deep learning methods for classification of certain abnormalities in echocardiography. Electronics, 10(4), 1–20.
  30. Warjri, S., Pakray, P., Lyngdoh, S. A., & Kumar Maji, A. (2021). Part-of-speech (POS) tagging using conditional random field (CRF) model for Khasi corpora. International Journal of Speech Technology, 24(4), 853–864.
  31. Das, R. K., Pohrmen, F. H., Kumar Maji, A., & Saha, G. (2020). FT-SDN: A fault-tolerant distributed architecture for software defined network. Wireless Personal Communications, 114(2), 1045–1066.
  32. Das, R. K., Ahmed, N., Pohrmen, F. H., Kumar Maji, A., & Saha, G. (2020). 6LE-SDN: An edge-based software-defined network for Internet of Things. IEEE Internet of Things Journal, 7(8), 7725–7733.
  33. Wahlang, I., Sharma, P., Sanyal, S., Saha, G., & Kumar Maji, A. (2020). Deep learning techniques for classification of brain MRI. International Journal of Intelligent Systems Technologies and Applications, 19(6), 571–588.
  34. Jana, S., Kumar Maji, A., & Pal, R. K. (2019). A novel SPN-based video steganographic scheme using Sudoku puzzle for secured data hiding. Innovations in Systems and Software Engineering, 15(1), 65–73.
  35. Warjri, S., Pakray, P., Lyngdoh, S. A., & Kumar Maji, A. (2019). Identification of POS tag for Khasi language based on Hidden Markov Model POS tagger. Computacion y Sistemas, 23(3), 795–802.
  36. Amitab, K., Kumar Maji, A., & Kandar, D. (2018). Speckle noise filtering in SAR images using fuzzy logic and particle swarm optimization. Journal of Computational Methods in Sciences and Engineering, 18(4), 859–873.
  37. Shrivastava, D., Kandar, D., & Kumar Maji, A. (2018). Automated segmentation of bone Computed Tomography image using deep convolution neural network. Journal of Computational and Theoretical Nanoscience, 15(6-7), 2036–2039.
  38. Kumar Maji, A., Roy, K. S., & Kandar, D. (2014). A novel spread spectrum based audio encryption technique using Latin square. International Journal of Applied Engineering Research, 9(21), 4955–4960.
  39. Hazarika, R. A., Ajith, A. P., Sur, S. N., Kumar Maji, A., & Kandar, D. (2021). Different techniques for Alzheimer's disease classification using brain images: a study. International Journal of Multimedia Information Retrieval, 10(4), 199–218.
  40. Wahlang, I., Sharma, P., Saha, G., & Kumar Maji, A. (2018). Brain tumor classification techniques using MRI: A study. Research Journal of Pharmacy and Technology, 11(10), 4764–4770.
  41. Ado, M., Amitab, K., Kumar Maji, A., Leonowicz, Z. M., & Jasinski, M. (2022). Landslide susceptibility mapping using machine learning: A literature survey. Remote Sensing, 14(13), Article 3029.
  42. Hassan, S. M., & Kumar Maji, A. (2025). Pest Identification Based on Fusion of Self-Attention With ResNet' (IEEE Access (2024) 12 (6036-6050) DOI: 10.1109/ACCESS.2024.3351003)  IEEE Access, 13, 54115.
  43. Hazarika, R. A., Ajith, A. P., Sur, S. N., Kumar Maji, A., & Kandar, D. (2021). Different techniques for Alzheimer's disease classification using brain images: a study (International Journal of Multimedia Information Retrieval, (2021), 10, 4, (199-218), 10.1007/s13735-021-00210-9) . International Journal of Multimedia Information Retrieval, 10(4), 255.

Book Chapters (Selected Scopus Indexed)

  1. Wahlang, I., & Kumar Maji, A. (2025). Nonlinear activation functions of convolutional neural networks for classification of brain tumors using magnetic resonance imaging. In Artificial Intelligence in e-Health Framework, Volume 1: AI, Classification, Wearable Devices, and Computer-Aided Diagnosis (pp. 245–282). Academic Press.
  2. Hassan, S. M., Roy, K. S., Kumar, K. S., Nath, K., & Hazarika, R. A. (2025). Enhancing deep learning-based colon cancer detection using attention module. In Applied Artificial Intelligence and Machine Learning Techniques for Engineering Applications (pp. 79–88). Taylor & Francis.
  3. Jana, S., Bhattacharya, S., Sen, M., Khan, A., Kumar Maji, A., & Pal, R. K. (2025). Yet another move towards securing video using Sudoku-Fernet. In Next-Generation Systems and Secure Computing (pp. 1–16). Wiley.
  4. Lyngdoh, E. L., Mitri, A. M., Saha, G., & Kumar Maji, A. (2024). Implementation and analysis of shallow parsing techniques in Khasi language. In Empowering Low-Resource Languages With NLP Solutions (pp. 137–156). IGI Global.
  5. Shrivastava, D., Sanyal, S., Kumar Maji, A., & Kandar, D. (2020). Bone cancer detection using machine learning techniques. In Smart Healthcare for Disease Diagnosis and Prevention (pp. 175–183). Elsevier.
  6. Amitab, K., Kandar, D., & Kumar Maji, A. (2019). Speckle noise filtering using back-propagation multi-layer perceptron network in synthetic aperture radar image. In Deep Learning and Neural Networks: Concepts, Methodologies, Tools, and Applications (pp. 489–510). IGI Global.
  7. Wahlang, I., Sharma, P., Nasreen, S. M., Kumar Maji, A., & Saha, G. (2019). A comparative study on segmentation techniques for brain tumor MRI. In Lecture Notes in Networks and Systems (Vol. 40, pp. 665–673). Springer.
  8. Bandhyopadhyay, A., Dey, D., Pal, R. K., & Kumar Maji, A. (2018). An indirect addressing image steganographic scheme using Sudoku matrix. In Lecture Notes in Networks and Systems (Vol. 24, pp. 689–703). Springer.
  9. Wahlang, I., Warjri, S., & Kumar Maji, A. (2018). Extraction and analysis of expression from a captured face. In Lecture Notes in Networks and Systems (Vol. 24, pp. 357–366). Springer.
  10. Warjri, S., Wahlang, I., & Kumar Maji, A. (2018). Study and analysis of different face recognition techniques based on graph. In Lecture Notes in Networks and Systems (Vol. 24, pp. 347–356). Springer.
  11. Kumar Maji, A. (2016). A novel technique for securing e-commerce transaction. In Identity Theft: Breakthroughs in Research and Practice (pp. 201–220). IGI Global.
  12. Amitab, K., Kandar, D., & Kumar Maji, A. (2016). Comparative evaluation of radial basis function network transfer function for filtering speckle noise in synthetic aperture radar images. In Emerging Research in Computing, Information, Communication and Applications: ERCICA 2015 (Vol. 3, pp. 243–252). Springer.
  13. Kumar Maji, A. (2015). A novel technique for securing E-commerce transaction. In Strategic Infrastructure Development for Economic Growth and Social Change (pp. 120–138). IGI Global.
  14. Ranee, L. A., Marshillong, F. L., Malakar, B., Kumar Maji, A., & Lyngdoh, S. A. (2026). Khasi sign language recognition using tailored machine learning techniques. In Lecture Notes in Computer Science (Vol. 16436, pp. 266–277). Springer.
  15. Raplang, A., Kumar Maji, A., Mercy Nesa Rani, P., Laloo, B., & Thakuria, D. (2026). Comparative analysis of machine learning techniques for classification of millet seeds. In Communications in Computer and Information Science (Vol. 2861, pp. 256–268). Springer.
  16. Mitri, A. M., Saha, G., Kumar Maji, A., & Lyngdoh, S. A. (2025). Automatic text summarization for low-resource settings and languages: A survey. In Lecture Notes in Networks and Systems (Vol. 1102, pp. 59–75). Springer.
  17. Jana, S., Sen, M., Khan, A., Kumar Maji, A., & Pal, R. K. (2025). Analysing the effectiveness of different machine learning approaches towards solving Sudoku puzzle. In Lecture Notes in Networks and Systems (Vol. 1102, pp. 25–41). Springer.
  18. Mitri, A. M., Thabah, N. D. J., Kumar Maji, A., Saha, G., & Purkayastha, B. S. (2025). Automatic evaluation of text summaries. In Lecture Notes in Networks and Systems (Vol. 1307, pp. 633–639). Springer.
  19. Pakray, P., Krishna, R. M., Pal, S., Das, A., Maji, A. K. ,Manna, R., et al. (2025). Findings of WMT 2025 shared task on low-resource Indic languages translation. In Conference on Machine Translation - Proceedings (pp. 532–553).
  20. Mukherjee, M., Layek, R., Srivastava, P., De, Indrajit., & Kumar Maji, A. (2025). SignCraft: Khasi sign language recognition application. In Proceedings of the 2025 IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA 2025). IEEE.
  21. Ranee, L. A., Marshillong, F. L., Lyndoh, S. A., & Kumar Maji, A. (2025). Khasi sign language recognition using Google's Mediapipe and deep learning feedforward neural network approach. In Procedia Computer Science (Vol. 258, pp. 3619–3629). Elsevier.
  22. Mitri, A. M., Saha, G., Lyngdoh, S. A., & Kumar Maji, A. (2025). Abstractive summarization of Khasi texts using pretrained large language models. In Procedia Computer Science (Vol. 258, pp. 4117–4127). Elsevier.
  23. Pakray, P., Pal, S., Vetagiri, A., Lyngdoh, S.,  A. K.Maji, & Manna, R. (2024). Findings of WMT 2024 shared task on low-resource Indic languages translation. In Conference on Machine Translation - Proceedings (pp. 654–668).
  24. Jana, S., Sen, M., Khan, A., Kumar Maji, A., & Pal, R. K. (2023). A novel video encryption scheme using giant Sudoku for secured data transmission. In Lecture Notes in Networks and Systems (Vol. 781, pp. 221–232). Springer.
  25. Jana, S., Sharma, E. S., Khan, A., Kumar Maji, A., & Pal, R. K. (2023). Generating a suitable hash function using Sudoku for blockchain network. In Lecture Notes in Networks and Systems (Vol. 690, pp. 161–171). Springer.
  26. Hazarika, R. A., Shyam, K., & Kumar Maji, A. (2023). Implementation of few deep learning models to detect Alzheimer's disease. In Lecture Notes in Networks and Systems (Vol. 690, pp. 435–448). Springer.
  27. Warjri, S., Pakray, P., Lyngdoh, S. A., & Kumar Maji, A. (2023). Fake news detection using social media data for Khasi language. In Proceedings of the 2023 International Conference on Intelligent Systems, Advanced Computing and Communication (ISACC 2023). IEEE.
  28. Warjri, S., Pakray, P., Lyngdoh, S. A., & Kumar Maji, A. (2023). Investigating part-of-speech tagging in Khasi using Naïve Bayes and support vector machine. In Lecture Notes in Networks and Systems (Vol. 492, pp. 141–149). Springer.
  29. Hassan, S. M., & Kumar Maji, A. (2023). Rice disease identification using deep learning models. In Lecture Notes in Networks and Systems (Vol. 404, pp. 203–212). Springer.
  30. Jana, S., Dutta, N., Kumar Maji, A., & Pal, R. K. (2023). A novel time-stamp-based audio encryption scheme using Sudoku puzzle. In Lecture Notes in Networks and Systems (Vol. 404, pp. 159–169). Springer.
  31. Hazarika, R. A., Kandar, D., & Kumar Maji, A. (2022). A novel deep neural network based approach for Alzheimer's disease classification using brain magnetic resonance imaging (MRI). In Lecture Notes in Networks and Systems (Vol. 419, pp. 381–390). Springer.
  32. Jana, S., Dey, A., Kumar Maji, A., & Pal, R. K. (2022). Solving Sudoku using neighbourhood-based mutation approach of genetic algorithm. In Lecture Notes in Networks and Systems (Vol. 241, pp. 153–167). Springer.
  33. Jana, S., Mallik, M., Kumar Maji, A., & Pal, R. K. (2021). A novel search tree-based 3D Sudoku solver. In Lecture Notes in Networks and Systems (Vol. 170, pp. 709–718). Springer.
  34. Das, R. K., Pohrmen, F. H., Kumar Maji, A., & Saha, G. (2021). FOSDN: A software-defined edge computation for resource constraint network. In Lecture Notes in Networks and Systems (Vol. 170, pp. 463–470). Springer.
  35. Warjri, S., Pakray, P., Lyngdoh, S. A., & Kumar Maji, A. (2021). Adopting Conditional Random Field (CRF) for Khasi part-of-speech tagging (KPOST). In Lecture Notes in Networks and Systems (Vol. 170, pp. 75–84). Springer.
  36. Wahlang, I., Saha, G., & Kumar Maji, A. (2021). A comparative analysis on denoising techniques in brain MRI and cardiac echo. In Lecture Notes in Networks and Systems (Vol. 170, pp. 381–391). Springer.
  37. Hazarika, R. A., Kharkongor, K., Kumar Maji, A., Kandar, D., & Sanyal, S. (2021). A hybrid approach for segmenting grey and white matter from brain magnetic resonance imaging (MRI). In Advances in Intelligent Systems and Computing (Vol. 1255, pp. 127–138). Springer.
  38. Hassan, S. M., & Kumar Maji, A. (2021). Identification of plant species using deep learning. In Advances in Intelligent Systems and Computing (Vol. 1255, pp. 115–125). Springer.
  39. Das, R. K., Kumar Maji, A., & Saha, G. (2021). SD-6LN: Improved existing IoT framework by incorporating SDN approach. In Advances in Intelligent Systems and Computing (Vol. 1165, pp. 599–606). Springer.
  40. Hassan, S. M., & Kumar Maji, A. (2021). A hybridized auto-encoder and convolution neural network-based model for plant identification. In Advances in Intelligent Systems and Computing (Vol. 1165, pp. 1027–1036). Springer.
  41. Wahlang, I., Saha, G., & Kumar Maji, A. (2020). A study on abnormalities detection techniques from echocardiogram. In Lecture Notes in Electrical Engineering (Vol. 672, pp. 181–188). Springer.
  42. Hazarika, R. A., Kharkongor, K., Sanyal, S., & Kumar Maji, A. (2020). A comparative study on different skull stripping techniques from brain magnetic resonance imaging. In Advances in Intelligent Systems and Computing (Vol. 1087, pp. 279–288). Springer.
  43. Dey, K. N., Golui, S., Dutta, N., Kumar Maji, A., & Pal, R. K. (2020). Plain text encryption using Sudoku cipher. In Advances in Intelligent Systems and Computing (Vol. 1034, pp. 23–31). Springer

Conferences/Workshops Organized (Selected):

  1. Successfully Organized 3rd International Conference on Computing and Communication Systems (I3CS)-2020 as Organizing Chair at Department of IT, during 10th to 11th August 2020.
  2. Acted as Local Organizing Committee member for ISI-NEHU Winter School on Soft Computing, Pattern Recognition and Image Processing at Department of IT, NEHU during October 2011.
  3. Acted as Convener for Fifteenth North East Workshop on Computational Information Processing Department of IT, NEHU during December 2013.
  4. Acted as Program Co-Chair, Technical Session Chair for International Conference on Computing and Communication System (I3CS’15), 2015 at Department of IT, NEHU.
  5. Acted as Organizing Co-Chair of International Conference on Computing and Communication System (I3CS’16), 2016 at Department of IT, NEHU.
  6. Organized a Faculty Development Program on “Security Issues and Challenges of Internet of Things” at Department of IT, NEHU from 10th-14th September 2018.
  7. Acted as Program Committee member of BigDML-2019, NIT, Silchar.
  8. Acted as Session Chairs for I3CS 2015, IESC 2019.
  9. Acted as Panel Member for 2nd Research Conclave, NIT Meghalaya, March, 2021.
  10. Acted as Organizing Chair of International Conference on Computing and Communication System (I3CS’20), 2020 at Department of IT, NEHU
  11. Organizing Chair for 2nd International Conference on Frontiers in Computing and Systems (COMSYS-2021) to be held on 29th September-01st October 2021, at North-Eastern Hill University, Shillong.
  12. Web Chair of International Conference COMSYS-2022, at IIT, Ropar.
  13. Web Chair of International Conference ICDEC-2022, NEHU, Shillong
  14. Organizing Chair of Springer Sponsored International Conference ICDEC-2023.

Invited Lectures (Partial list):

  1. Delivered invited talk on National Conference in 2013 in E-Commerce Security.
  2. Delivered invited talk on Cyber Crime against women in 2017 in UGC sponsored workshop on Cyber Crime against Women: North-East Pespective.
  3. Delivered several invited lectures on UGC sponsored refresher courses.
  4. Delivered Invited talk on “ Overview of Deep Neural Network” in FDP in Artificial Intelligence and Machine Learning

Professional Development Activities:

  1. Attended QIP-Short Term Course on Bio-Medical, Speech and Image Processing, 26th to 30th December 2006, Venue: IIT, Guwahati.
  2. Attended Workshop on Neural Networks and Genetic Algorithm, 21st March to 23rd March 2007, Venue: St. Anthony’s College, Shillong.
  3. Attended QIP-Short Term Course on Mobile Communications: Systems and Applications, 4th to 8th June 2007, Venue: IIT, Guwahati.
  4. Attended Workshop on MEMS Technology, 25th March to 27th March, 2010, Venue: Deptt. Of ECE, NEHU.
  5. Attended ISI-NEHU Winter School on Soft Computing, Pattern Recognition and Image Processing, 20th to 24th October 2011.
  6. Attended Faculty Development Program organized by Federation of Universities, 13th September 2010.
  7. Attended National Seminar on Recent Trends in Data Warehousing and Data Mining, 1st February 2012.
  8. Attended Workshop on Computational Information Processing, 3rd to 6th December, 2013.
  9. Attended Workshop on RF and Microwave Technology, 8th to 10th October, 2014.
  10. Attended National Course on Algorithms in Engineering, 15th to 19th February, 2016.
  11. Attended Orientation Course, 27th October to 23rd November 2010.
  12. Attended Refresher Course, 10th to 30th March 2012.
  13. Attended Refresher Course, 26th November to 16th December 2014.
  14. Attended International Doctoral Symposium from 2014 to 2016.
  15. Attended Faculty Development Program at IIT, Guwahati from 11th April to 17th April 2018.
  16. Attended Faculty Development Program at CIT, Kokrajhar from 6th May to 13th May 2018.
  17. Attended a Refresher Course from 12th November to 02nd December 2018.
  18. Attended AICTE Training And Learning (ATAL) Academy Online FDP on "Artificial Intelligence" from 2020-10-15 to 2020-10-19 at KIIT Deemed to be University.
  19. Attended AICTE Training And Learning (ATAL) Academy Online FDP on "Block chain" from 2020-10-5 to 2020-10-9 at National Institute of Technology Meghalaya.
  20. Delivered a Lecture on “ Deep Learning Techniques for Medical Image Analysis” in the Refresher course on “Bio-medical Engineering” organized by UGC-HRDC, NEHU, Shillong on 11/03/2023.
  21. Organized a Refresher course on “ Artificial Intelligence and Data Science” at UGC-HRDC, NEHU from 03/07/2023 to 15/07/2023

Paper presentation in Seminar/Conference/Symposium (Partial)

Title of the Invited Lecture/Paper presented

Title of Conference/Seminar etc.

Date of Presentation

A Systematic Approach for Solving Sudoku Puzzle

International Conference on Computing and Systems (ICCS-2010)

Nov. 19-20, 2010

An Information Technology Based Framework For Improving Agricultural Credit Delivery System in India

3rd PIMG International Conference on Transformation and Survival of Business Organizations: Challenges and Opportunities

Dec. 28-30,2011

Implementation of Visual Cryptographic Secret Sharing Scheme in E-Commerce

International Conference on Marketing in Emerging Economics: An agenda for Next Decade

Dec. 15-16, 2012

An Exhaustive Study on Elimination Based Sudoku Solver

4th International Conference on Technical and Managerial Innovation in Computing Communications in Industry and Academia

23rd August, 2013

Sudoku Solver using Minigrid Based Backtracking

IEEE International Advance Computing Conference

Feb. 21-22, 2014

Speckle Noise Reduction in Synthetic Aperture Radar Image using Multi-Layer Perception

7th International Conference on Electrical, Electronics, Computing and Communication Systems

Jan. 9-10, 2015

A brief study on different features extraction scheme in Face Recognition

7th International Conference on Electrical, Electronics, Computing and Communication Systems

Jan. 9-10, 2015

A Study on Few Soft Computing Techniques to Solve Sudoku Puzzle

International Conference on Computing and Communication System

Apr. 9-10, 2015

An Exhaustive Study on Different Audio Watermarking Technique

International Conference on Computing and Communication System

Apr. 9-10, 2015

A Novel Sudoku Solving Technique using Column based Permutation

International Symposium on Advanced Computing and Communication

Apr. 9-10, 2015

Exhaustive Study on Different Automated Leaf Recognition Techniques

International Conference of Advanced Computing and Big Data Analytics

Mar. 23-24, 2018

Automatic Segmentation of Bone CT Images using Deep Convolution Neural Networks

International Conference of Advanced Computing and Big Data Analytics

Mar. 23-24, 2018

Classification of Brain MRI using Deep Learning Techniques

3rd International Conference on Soft Computing: Theories and Application

Dec. 21-23, 2018

Plain Text Encryption using Sudoku Cipher

Third International Conference on Intelligent Computing and Communication.

7-8th June, 2019

A Study on Abnormalities Detection Techniques from Echocardiogram

First International Conference on Advances in Electrical and Computer Technologies (ICAECT-2019)

April 26-27, 2019

Investigating Part-of-Speech Tagging in Khasi using Naïve Bayes and Support Vector Machine

International Conference on Innovative Computing and Communication (ICICC-2022), Shaheed Sukhdev College of Business Studies, University of Delhi, New Delhi

February 19, 2022

 

2026, North-Eastern Hill University
Designed & developed at Bioinformatics Centre, NEHU