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Department of Information Technology

Dr. Utpal Barman

Associate Professor
  • utpal@asu.ac.in

Specialization : Artificial Intelligence, Machine Learning, Deep Learning
Qualification :B.E., M.E., PhD
Area of Research : Artificial Intelligence, Machine Learning, Deep Learning, Agri-Informatics, AI in Healthcare, Health-Informatics, AI in Education

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Journal (36)

1. Selorm Adablanu, Utpal Barman, Dulumani Das, A Hybrid 1D-CNN and Transformer-Based Deep Learning Framework for Stroke Detection Using Brain CT Scans. Procedia Computer Science Vol. 283  Pageno: 446-455 . https://doi.org/10.1016/j.procs.2026.06.129 https://www.sciencedirect.com/science/article/pii/S1877050926017606 [2026]

2. Binod Deka, Ridip Dev Choudhury, Utpal Barman ,, Context-aware AgriBot using dual intent and entity transformer and hybrid deep learning model. IAES International Journal of Artificial Intelligence (IJ-AI) Vol. 15  4 . http://doi.org/10.11591/ijai.v15.i4.pp3637-3645 https://ijai.iaescore.com/index.php/IJAI/article/view/29280 [2026]

3. Pranobjyoti Lahon, Utpal Barman, Aditya Bihar Kandali, Dulumani Das, Machine learning based smart grid prediction models for enhancing environmental sustainability.. Journal of Applied & Natural Science Vol. 18  2 . https://doi.org/10.31018/jans.v18i2.7443 https://journals.ansfoundation.org/index.php/jans/article/view/7443 [2026]

4. Selorm Adablanu, Utpal Barman, Dulumani Das, Tuward Jade Dweh, Transforming Skin Cancer Detection With AI‐Based Convolutional and Transformer Models. iRADIOLOGY . https://doi.org/10.1002/ird3.70058 https://onlinelibrary.wiley.com/doi/full/10.1002/ird3.70058 [2026]

5. Sangita Baruah, Vaskar Deka, Dulumani Das, Utpal Barman, Manob Jyoti Saikia, Enhanced Peer-to-Peer Botnet Detection Using Differential Evolution for Optimized Feature Selection. Future Internet Vol. 17  6 . https://doi.org/10.3390/fi17060247 https://www.mdpi.com/1999-5903/17/6/247 [2025]

6. Gunikhan Sonowal, Soraisam Gobinkumar Singh, Prasanta Bairagi, Utpal Barman, Dulumani Das, Mammadov Iltimas, Gulnar Gurbanova, COMPREHENSIVE EVALUATION AND PERFORMANCE ANALYSIS OF A DEEP LEARNING MODEL WITH HYPERPARAMETER TUNING FOR LUMPY SKIN DISEASE CLASSIFICATION IN DAIRY COWS. Reliability: Theory & Applications . https://cyberleninka.ru/ahttps://cyberleninka.ru/a https://cyberleninka.ru/article/n/comprehensive-evaluation-and-performance-analysis-of-a-deep-learning-model-with-hyperparameter-tuning-for-lumpy-skin-disease [2025]

7. Soraisam Gobinkumar Singh, Dulumani Das, Utpal Barman, Hasan Huseynov, OPTIMIZED CNN-BASED APPROACH FOR ALZHEIMER’S DISEASE BY TACKLING CLASS IMBALANCE IN MRI CLASSIFICATION. Reliability: Theory & Applications . https://cyberleninka.ru/article/n/optimized-cnn-ba https://cyberleninka.ru/article/n/optimized-cnn-based-approach-for-alzheimer-s-disease-by-tackling-class-imbalance-in-mri-classification [2025]

8. Selorm Adablanu, Utpal Barman, and Dulumani Das , Advancing Deep Learning for Automated Stroke Detection: A 2 Review. Brain Hemorrhages . https://doi.org/10.1016/j.hest.2025.07.002 https://www.sciencedirect.com/science/article/pii/S2589238X25000531?ref=pdf_download&fr=RR-2&rr=95f01aefbd803b09 [2025]

9. Nabanita Daimary, Devabrata Sarmah,Arup Bhattacharjee, Utpal Barman and Manob Jyoti Saikia , Geotechnical Performance of Lateritic Soil Subgrades Stabilized with Agro-Industrial Waste: An Experimental Assessment and ANN-Based Predictive Modelling. Geotechnics Vol. 5  3  Pageno: 1-18 . https://doi.org/10.3390/geotechnics5030065 https://www.mdpi.com/2673-7094/5/3/65 [2025]

10. S Adablanu, U Barman, D Das, A novel hybrid adaptive transformer framework with multihead self attention for stroke detection. Discover Neuroscience Vol. 24  1 . https://doi.org/10.1186/s13064-025-00224-7 https://link.springer.com/article/10.1186/s13064-025-00224-7 [2025]

11. Selorm Adablanu, Utpal Barman, Dulumani Das, 15 Years of Optimizers in Medical Deep Learning: A Systematic Review. Neuroscience Informatics . https://doi.org/10.1016/j.neuri.2025.100249 https://www.sciencedirect.com/science/article/pii/S2772528625000640 [2025]

12. Amarjyoti Pathak, Th Shanta Kumar, Utpal Barman, Static analysis framework for permission-based dataset generation and android malware detection using machine learning. EURASIP Journal on Information Security Vol. 33  1  Pageno: 1-12 . https://doi.org/10.1186/s13635-024-00182-3 https://link.springer.com/article/10.1186/s13635-024-00182-3#citeas [2024]

13. Soraisam Gobinkumar Singh, Dulumani Das, Utpal Barman, Manob Jyoti Saikia, Early Alzheimer’s disease detection: A review of machine learning techniques for forecasting transition from mild cognitive impairment. Diagnostics Vol. 14  16  Pageno: 1759 . https://doi.org/10.3390/diagnostics14161759 https://www.mdpi.com/2075-4418/14/16/1759 [2024]

14. Mazida A Ahmed, Ridip Dev Choudhury, Shikhar Kr Sarma, Khurshid A Borbora, Manash P Bhuyan, Utpal Barman, Hybrid deep Ensemble for Fine-Grained Race Estimation. Multimedia Tools and Applications . https://doi.org/10.1007/s11042-024-19950-x https://link.springer.com/article/10.1007/s11042-024-19950-x [2024]

15. Debdeep Saha, Mithu Sarkar, Utpal Barman, Illustration of maiden frequency control scheme of combined cycle gas turbine and doubly fed induction generator integrated distributed energy resources based isolated power system. Electrical Engineering Vol. 106  4  Pageno: 3691-3704 . https://doi.org/10.1007/s00202-023-02184-9 https://link.springer.com/article/10.1007/s00202-023-02184-9 [2024]

16. Utpal Barman, Manob Jyoti Saikia, Smartphone contact imaging and 1-D CNN for leaf chlorophyll estimation in agriculture. Agriculture Vol. 14  8  Pageno: 1262 . https://doi.org/10.3390/agriculture14081262 https://www.mdpi.com/2077-0472/14/8/1262 [2024]

17. Manashi Karmakar, Binita Chakraborty, Amisha Sultana Hussain, Pervej Alom Barbhuiya, Noksensangla Y. Chang, Ireenia Warjri, Wankupar Wankhar, Utpal Barman, Mrinmoy Basak, Saikat Sen and Manash Pratim Pathak, A Systemic Review of Pre-clinical Studies of Herbal Plants having Anti-Polycystic Ovarian Syndrome Activity: A PAN-India Study. The Natural Products Journa Vol. 15  3 . 10.2174/0122103155303329240509115336 https://www.benthamscience.com/article/140406 [2024]

18. Utpal Barman, Dulumani Das, Gunikhan Sonowal, Mala Dutta, Innovative Approaches to Rice (Oryza sativa) Crop Health: A Comprehensive Analysis of Deep Transfer Learning for Early Disease Detection. Yuzuncu YÄąl University Journal of Agricultural Sciences Vol. 34  2  Pageno: 314-322 . https://doi.org/10.29133/yyutbd.1402821 https://dergipark.org.tr/en/pub/yyutbd/article/1402821 [2024]

19. Pranobjyoti Lahon, Aditya Bihar Kandali, Utpal Barman, Ruhit Jyoti Konwar, Debdeep Saha, Manob Jyoti Saikia, Deep Neural Network-Based Smart Grid Stability Analysis: Enhancing Grid Resilience and Performance. Energies Vol. 17  11  Pageno: 2642 . https://doi.org/10.3390/en17112642 https://www.mdpi.com/1996-1073/17/11/2642 [2024]

20. Amarjyoti Pathak, Utpal Barman, Th Shanta Kumar, Machine learning approach to detect android malware using feature-selection based on feature importance score. Journal of Engineering Research . https://doi.org/10.1016/j.jer.2024.04.008 https://www.sciencedirect.com/science/article/pii/S2307187724000981 [2024]

21. Utpal Barman, Parismita Sarma, Mirzanur Rahman, Vaskar Deka, Swati Lahkar, Vaishali Sharma, Manob Jyoti Saikia, ViT-SmartAgri: Vision Transformer and Smartphone-Based Plant Disease Detection for Smart Agriculture. Agronomy Vol. 14  2  Pageno: 327 . https://doi.org/10.3390/agronomy14020327 https://www.mdpi.com/2073-4395/14/2/327 [2024]

22. Utpal Barman, Chhandanee Pathak, Nirmal Kumar Mazumder, Comparative assessment of Pest damage identification of coconut plant using damage texture and color analysis. Multimedia Tools and Applications Vol. 82  16  Pageno: 25083-25105 . https://doi.org/10.1007/s11042-023-14369-2 https://link.springer.com/article/10.1007/s11042-023-14369-2 [2023]

23. Utpal Barman, Ridip Dev Choudhury, Bishwajeet Bal, Anirban Bhattacharjee, Samujjal Talukdar, Nilanjan Nath, Parikhit Basnet, Abhay Bhowmick, Performance analysis of support vector machine for early identification of citrus diseases. Journal of Applied and Natural Science Vol. 15  2  Pageno: 852 . https://doi.org/10.31018/jans.v15i2.4630 https://journals.ansfoundation.org/index.php/jans/article/view/4630 [2023]

24. C Bharadwaj, U Barman, S Saha, Analysis of Latency and Bandwidth for Edge-Based Short Length in Edge Computing Devices for Short Ranges and Long Ranges. Indian Journal of Science and Technology . http s://doi.org/10.17485/IJST/v16i8.2051 https://sciresol.s3.us-east-2.amazonaws.com/IJST/Articles/2023/Issue-8/IJST-2022-2051.pdf [2023]

25. Utpal Barman, Dulumani Das, Mala Dutta, Krishna Moni Das, Shuvodeep Chowdhury, Enhancing Monsoon Rainfall Forecasting in Assam and Meghalaya: A Time Series Analysis. Annals of Multidisciplinary Research, Innovation and Technology (AMRIT) Vol. 2  2  Pageno: 48-53 . https://www.researchgate.net/profile/Utpal-Barman/ https://www.researchgate.net/profile/Utpal-Barman/publication/382060787_Enhancing_Monsoon_Rainfall_Forecasting_in_Assam_and_Meghalaya_A_Time_Series_Analysis/links/668aa034714e0b03154b9bbd/Enhancing-Monsoon-Rainfall-Forecasting-in-Assam-and-Meghalaya-A-Tim [2023]

26. Ananya Kalita, Pranveer Singh, Sunandan Baruah, Utpal Barman, Ankur Pan Saikia, A discussion to promote global sustainability techniques for motivating plastic waste to minimize carbon footprints. Environmental Quality Management Vol. 33  1  Pageno: 327-339 . https://doi.org/10.1002/tqem.22058 https://onlinelibrary.wiley.com/doi/abs/10.1002/tqem.22058 [2023]

27. Utpal Barman, Ridip Dev Choudhury, Smartphone image based digital chlorophyll meter to estimate the value of citrus leaves chlorophyll using Linear Regression, LMBP-ANN and SCGBP-ANN. Journal of King Saud University-Computer and Information Sciences Vol. 34  6  Pageno: 2938-2950 . https://doi.org/10.1016/j.jksuci.2020.01.005 https://www.sciencedirect.com/science/article/pii/S1319157819313679 [2022]

28. Utpal Barman, Vishal Barman, Nawaz Khan Choudhury, Mustafizur Rahman, Shikhar Kumar Sarma, Unsupervised Extractive News Articles Summarization leveraging Statistical, Topic-Modelling and Graph-based Approaches. Journal of Scientific & Industrial Research Vol. 81  9  Pageno: 952-962 . DOI: 10.56042/jsir.v81i09.53185 http://op.niscpr.res.in/index.php/JSIR/article/viewFile/53185/465481544 [2022]

29. Utpal Barman, Ridip Dev Choudhury, Shikhar Kumar Sarma, Roktim Kamal Senapoty, Aditya Singh, Abhinav Borah, Gitartha Kalita, Smartphone assisting convolutional neural networks for soil texture classification in dry and wet humid conditions in West Guwahati, Assam.. Journal of Applied & Natural Science Vol. 14  4 . https://doi.org/10.31018/jans.v14i4.3966 https://journals.ansfoundation.org/index.php/jans/article/view/3966 [2022]

30. Utpal Barman, Ridip Dev Choudhury, Smartphone assist deep neural network to detect the citrus diseases in agri-informatics. Global Transitions Proceedings Vol. 3  2  Pageno: 392-398 . https://doi.org/10.1016/j.gltp.2021.10.004 https://www.sciencedirect.com/science/article/pii/S2666285X21001035 [2022]

31. Dipankar Dutta, Ridip Dev Choudhury, Utpal Barman, Assamese Speech-based Vocabulary Identification System using Convolutional Neural Network. International Journal of Computing and Digital Systems Vol. 12  1  Pageno: 1191-1202 . https://dx.doi.org/10.12785/ijcds/120195 https://journal.uob.edu.bh/handle/123456789/4680 [2022]

32. Utpal Barman, Deep Convolutional neural network (CNN) in tea leaf chlorophyll estimation: A new direction of modern tea farming in Assam, India.. Journal of Applied & Natural Science Vol. 13  3 . https://doi.org/10.31018/jans.v13i3.2892 https://journals.ansfoundation.org/index.php/jans/article/view/2892 [2021]

33. Utpal Barman, Ridip Dev Choudhury, Soil texture classification using multi class support vector machine. Information Processing in Agricultur Vol. 7  2  Pageno: 318-332 . https://doi.org/10.1016/j.inpa.2019.08.001 https://www.sciencedirect.com/science/article/pii/S2214317318301239 [2020]

34. Utpal Barman, Ridip Dev Choudhury, Diganto Sahu, Golap Gunjan Barman, Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease. Computers and Electronics in Agriculture Vol. 177  Pageno: 105661 . https://doi.org/10.1016/j.compag.2020.105661 https://www.sciencedirect.com/science/article/abs/pii/S0168169920302258 [2020]

35. Utpal Barman, Ridip Dev Choudhury, Prediction of soil pH using smartphone based digital image processing and prediction algorithm. Journal of Mechanics of Continua And Mathematical Sciences . https://doi.org/10.26782/jmcms.2019.04.00019 https://jmcms.s3.amazonaws.com/wp-content/uploads/2019/04/24094517/19-Prediction-of-Soil-pH-using.pdf [2019]

36. Utpal Barman, Uzzal Sharma, Animesh Sarmah, Pranoy Bhowmick, Double Stage chain routing Protocal in WSN. ADBU Journal of Engineering Technology . https://journals.dbuniversity.ac.in/ojs/index.php/ https://journals.dbuniversity.ac.in/ojs/index.php/AJET/article/view/650 [2019]

Conference (14)

1. Pranobjyoti Lahon , Utpal Barman , Aditya Bihar Kandali , Enhanced Stability Prediction of Smart Grid using Machine Learning Techniques. International Conference on Emerging Trends in Multidisciplinary Research for Sustainable Future (ICETMRSF–2026) Vol. 1  1  ISBN: 978-81-986430-2-5  Pageno: 67 . 978-81-986430-2-5 [2026]

2. S. Adablanu, U. Barman and D. Da, Comparative Efficacy of Focal and Binary Cross-Entropy Loss in Handling Class Imbalance for Stroke CT Classification. 2026 Sixth International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies (ICAECT) Vol. 6 . 10.1109/ICAECT68478.2026.11426059. https://ieeexplore.ieee.org/abstract/document/11426059 [2026]

3. Simanta Kalita, Shikhar Kumar Sarma, Khurshid Alam Borbora, Rup Kumar Deka, Siddhartha Adhyapok & Utpal Barman , LSTM-Based Event Detection in a Stream of Assamese Text. International Conference on Emerging Trends and Technologies on Intelligent Systems . https://doi.org/10.1007/978-981-95-0684-2_23 https://link.springer.com/chapter/10.1007/978-981-95-0684-2_23 [2025]

4. Soraisam Gobinkumar Singh, Dulumani Das & Utpal Barman , Integrating XAI with Optimized CNNs: A Novel Approach for Imbalanced Alzheimer’s Disease Classification. International Conference on Emerging Trends and Technologies on Intelligent Systems . https://doi.org/10.1007/978-981-95-0681-1_25 https://link.springer.com/chapter/10.1007/978-981-95-0681-1_25 [2025]

5. K Naveen Kumar, Utpal Barman, Patrick J Masset, TVVLN Rao, Triboinformatic Approaches for Composite Coatings on Titanium Alloys. International Conference on Industrial Tribology  Pageno: 235-243 . https://link.springer.com/chapter/10.1007/978-981- https://link.springer.com/chapter/10.1007/978-981-99-9264-5_19 [2022]

6. Utpal Barman, Vishal Barman, Mustafizur Rahman, Nawaz Khan Choudhury, Graph based extractive news articles summarization approach leveraging static word embeddings. 2021 International Conference on Computational Performance Evaluation (ComPE)  Pageno: 008-011 . 10.1109/ComPE53109.2021.9752056 https://ieeexplore.ieee.org/abstract/document/9752056/ [2021]

7. Utpal Barman, Asif Ekbal Hussain, Mridul Jyoti Dahal, Puja Barman, Mehnaz Hazarika, Time series analysis of assam rainfall using sarima and arima. Smart Computing Techniques and Applications: Proceedings of the Fourth International Conference on Smart Computing and Informatics, Volume 1  Pageno: 357-364 . https://doi.org/10.1007/978-981-16-0878-0_35 https://link.springer.com/chapter/10.1007/978-981-16-0878-0_35 [2021]

8. Utpal Barman, Diganto Sahu, Golap Gunjan Barman, A deep learning based android application to detect the leaf diseases of maize. Proceedings of the Sixth International Conference on Mathematics and Computing: ICMC 2020  Pageno: 275-286 . https://doi.org/10.1007/978-981-15-8061-1_22 https://link.springer.com/chapter/10.1007/978-981-15-8061-1_22 [2021]

9. Utpal Barman, Animesh Sarmah, Diganto Sahu, Golap Gunjan Barman, Estimation of Tea Leaf Chlorophyll Using MLR, ANN, SVR, and KNN in Natural Light Condition. Proceedings of the International Conference on Computing and Communication Systems: I3CS 2020, NEHU, Shillong, India  Pageno: 287-295 . https://doi.org/10.1007/978-981-33-4084-8_27 https://link.springer.com/chapter/10.1007/978-981-33-4084-8_27 [2021]

10. Akalpita Das, Himanish Shekhar Das, Utpal Barman, Arijeet Choudhury, Sourav Mazumdar, Anupal Neog, Detection of breast cancer from mammogram images using deep transfer learning. Advances in Signal Processing and Intelligent Recognition Systems: 6th International Symposium, SIRS 2020, Chennai, India, October 14–17, 2020, Revised Selected Papers 6  Pageno: 18-27 . https://doi.org/10.1007/978-981-16-0425-6_2 https://link.springer.com/chapter/10.1007/978-981-16-0425-6_2 [2021]

11. Utpal Barman, Diganto Sahu, Golap Gunjan Barman, Comparison of LR, SVR, and DNN for the Rainfall Forecast of Guwahati, Assam. Proceedings of the International Conference on Computing and Communication Systems: I3CS 2020, NEHU, Shillong, India  Pageno: 297-304 . https://doi.org/10.1007/978-981-33-4084-8_28 https://link.springer.com/chapter/10.1007/978-981-33-4084-8_28 [2021]

12. Utpal Barman, Ridip Dev Choudhury, Asif Ekbal Hussain, Mridul Jyoti Dahal, Puja Barman, Mehnaz Hazarika, Comparative assessment of AR, MA and ARMA for the time series forecasting of Assam and Meghalaya rainfall division. 2020 International Conference on Computational Performance Evaluation (ComPE) . https://ieeexplore.ieee.org/abstract/document/9200 https://ieeexplore.ieee.org/abstract/document/9200014/ [2020]

13. Utpal Barman, Diganto Sahu, Golap Gunjan Barman, Jayashree Das, Comparative assessment of deep learning to detect the leaf diseases of potato based on data augmentation. 2020 International Conference on Computational Performance Evaluation (ComPE) . https://ieeexplore.ieee.org/abstract/document/9200 https://ieeexplore.ieee.org/abstract/document/9200015 [2020]

14. Utpal Barman, Ridip Dey Choudhury, Ikbal Uddin, Predication of soil pH using K mean segmentation and HSV color image processing. 2019 6th International conference on computing for sustainable global development (INDIACom) . https://ieeexplore.ieee.org/abstract/document/8991 https://ieeexplore.ieee.org/abstract/document/8991364/ [2019]

Book(Edited) (3)

1. Utpal Barman, DISTRIBUTED SYSTEM. Published by - Gauhati University Vol. 1  1  ISBN: 978-81-982028-4-0 [2024]

2. Utpal Barman, TVV L N Rao, Book:. Abstract Book of International Conference on Semiconductor Materials and Manufacturing Technology 2024 (ICSMMT 2024)  ISBN: 978-93-342-5392-4 [2024]

3. Utpal Barman, Image Processing -. Published by KKHSOU  ISBN: 978-93-7839-506-2 []

FDP/Seminar/wokshop Partcipation (After Joining ASU)

  1. Advisory Member for the Industry Talk at ASU - Topic: Introduction to Data Science and Emerging Trends, Date 12th July, 2025
  2. Visted Exposure Visit Done by ASU for Industry Collaboration to Pune and Mumbai.
  3. Faculty Study Visit Done by ASU for Study Program to HAMK University of Applied Sciences, Finland. (8th to 16th June, 2025)
  4. Partcipated and completed the Management Development Program conducted by Virginia Tech India, held on 30th & 31st July 2025 at Taj Vivanta, Guwahati.
  5. NCVET and Govt of Assam Organised Zonal Capacity Building and Awareness Workshop for North-Eastern states on 2nd September, 2025
  6. Member Organizing Committee at RegICON 2025 by Gauhati University,Guwahati, Assam, India From November 27 to  November 29 , 2025
  7. Partcipated and Presented a paper entitle "A Hybrid ID CNN and Transformer Based Deep Learning Framework for Stroke Detection Using Brain CT" at International Conference on Machine Learning and Data Engineering (ICMLDE-2025) Organized By School of Computer Science, UPES, Dehradun, India from November 6th - 8th, 2025
  8. Partcipated and Presented a paper entitle "Comparative Efficacy of Focal and Binary Cross-Entropy Loss in Handling Class Imbalance for Stroke CT Classification" at 2026 Sixth IEEE Sponsored International Conference on Advances in Electrical, Computing, Communications and Sustainable Technologies (ICAECT 2026) organised by Shri Shankaracharya Technical Campus (SSTC), Bhilai, Chhattisgarh, India from January 8th - 9th, 2026. 
  9. Participated 2 weeks Malaviya Mission Teacher Training Programme on ""Indian Knowledge System (IKS) and Bio-Cultural Dimension of Public Health" organised by Manipur University 25th September 2025 to 15th october 2025. 

FDP/Seminar/wokshop Partcipation (Before Joining ASU)

  1. Attended A total 23 Seminars/ Conference /Short Term Courses/ FDP Attended Organized
  2. A total 9 Seminars/ Conference /Short Term Courses/ FDP Organized
  3. Total Conference: 13 Nos, Book Chapter in International Publishers: 9

Awards/Achievement / Recognition / Others  ( After Joining ASU)

  1. Being named among the World's Top 2% Scientists (Single-Year Impact) in the database created by researchers at Stanford University! and Elsevier . Ranked for significant research contributions in Information & Communication Technology (AI and Image Processing) based on 2025 citation metrics.
  2. Associate Editor in Information Processing in Agriculture Journal (Elesiver) - IF 7.7
  3. Editor in Scientific Reports Journal (Springer Nature)- IF. 3.9
  4. Editor in Discover Sustainability (Springer Nature) - If. 3.0
  5. BoS Member for the Computer Science and Engineering program at ASTU
  6. Liaison Officer and Completed MoU With Kareng Technologies.
  7. Liaison Officer for the MoU With XopunTech, Ujudebug, App Open, and Stepcorp. 

Awards/Achievement received (Before Joining ASU)

  1. Best Paper Award on ETTIS 2025, A Springer International Conference by CDAC NOIDA
  2. Best Faculty of Studies under Leadership, 2024
  3. Editor in Journal of Applied and Natural Science (Scopus)
  4. Research Reward 2024 at Assam Down Town University
  5. Winner of AICTE SIH 2023
  6. Best Poster Award by The Assam Kaziranga University and IFSA Bangalore
  7. Commitment to Excellence Award, 2022 by The Assam Kaziranga University 

Membership in Professional Bodies/organization/Committees   (Before Joining ASU)

  1. Member of Institution of Engineers (MIE)
  2. Member of Computer Society of India (MCSI)
  3. Life Member of An Institute of research engineers and doctors
  4. Life Member of International Association of Engineers
  5. Member of International Association of Computer Science and Information Technology

Invited Talks (After Joining ASU)

  1. Resource Person on "Webniar on AI" at Department of English, USTM on 2nd May, 2025
  2. Resource person on "Collaborative and Intreactive Teaching Tool" at FDP orgainsed by School of Skills Development, Dy Patil International university, Pune on 21st July 2025 to 25th July 2025
  3. Resource Person to Workshop on “AI & Machine Learning in Digital Manufacturing” conducted at TRTC, Guwahati on 7th August, 2025
  4. Invitation to Deliver an Online Lecture Series on "Al in Interdisciplinary Electronic Applications" from 11th August to 20th August, 2025, at KPR Institute of Engineering and Technology, Chennai.
  5. Invited to deliver a lecture on "Skill Education and its Growing Demand" at the Orientation Program for Diploma Engineering students of Assam Engineering Institute on 18th August, 2024.
  6. Invited talk at NERIM Guwahati on "Exploring Computer Science through Generative AI" on 29th August, 2025
  7. Invited talk at ISTE Chapter, AEI on "AI for Educators" on 4th September, 2025.
  8. Invited as a resource Person at the Faculty Development Programme on “Innovative Technology vis-à-vis New Age Education and Research” being organised by B. Borooah College in collaboration with UGC-MMTC, Gauhati University, on 8–9 October 2025.
  9. Invited as resource person by Placement Cell NERIM Guwahati and Department of Management, NERIM Guwahati on 17th October for Skill Training Programe on "Advanced Excel using AI" for MBA Students.
  10. Invited as resource person by Placement Cell NERIM Guwahati and Department of Management, NERIM Guwahati on 24th and 25th October for Skill Training Programe on "Advanced Excel using AI" for BBA Students.
  11. Invited as Keynote Speaker at First International Conference on Smart Systems and Social Management [ICSSSM 2025] at RGU – Nov 6–8, 2025 | Publication: Springer Nature (Atlantic Press) |Indexed by: Web of Science (Clarivate).
  12. Resource Person at Online One-week Faculty Development Program on "Artificial Intelligence & IoT in Industry 5.0: Shaping the future with Intelligence Systems" organised by Assam Science and Technology University in collaboration with E & ICT, NIT Patna from 10th to 15th November, 2025.
  13. Invited as a Jury Member for evaluating the Zonal participants of AI VidyaSetu 1.0 in both the Junior and Senior categories, organised IHFC, the Technology Innovation Hub of IIT Delhi! for KV Students.
  14. Invited as a resource person by the English Department, USTM on 24th January, 2026 on the topic “Artificial Intelligence in Contemporary Society: Opportunities, Ethical Challenges, and Misuse”
  15. Invited as a resource person by the Rajlakshmi Institute of Technology on 27th January, 2026 to 31st January 2026 for the International FDP on " Advanced  Research Skills and Scholarly Publishing"
  16. Invited as a panellist by Gauhati University in GUenARK 2026 for a panel discussion on "Skill For Entrepreneurship” on 3rd January 2026.
  17. Invited as a resource person by GCU on 4th January 2026 to deliver a lecture on "AI in School Education" funded by AICTE for PM SHRI schools
  18. Invited as a resource person for the outreach program organised by Assam Skil University and Handique Girls College on 4th May, 2026
  19. Workshop on Precision Farming For a Sustainable Future: Data-Driven Innovations Powering Prosperous Agriculture Date: 17th July 2026 | Time: 10:30 AM – 11:30 AM IST, in the International Conference on "The 13th International Conference on Agriculture 2026" Invited by The International Institute of Knowledge Management, 531/18, Kotte Road, Pitakotte at Bali, Indonesia
  20. Delivered a talk on “AI Tools for Engineering Students” as part of the Orientation Programme for First-Year Students (2026–27) at Assam Engineering Institute on 14th August 2026
  21. Pre-Conference Workshop on “Application of Artificial Intelligence and Smart Technologies in Sustainable Agriculture” in GAZA AGRICO 2026, organised by Burair Cultural Centre on 15th September 2026
  22. Deliverd a Talk on AI in Digital Manfacturing at AEI for an AICTE Sponsored ATAL VAANI funded NationL Workshop on 7th October 2026.
  23. Delivered a keynote adress on AI in Teaching, Learning and Research for an ISSSR Sponsored National Seminar on "Transforming Higher Education in the Era of Artificial Intelligence: Challenges, Opportunities and Policy Implications” at Nonoi College from 13th to 14th October, 2026.

Invited Talks (Before Joining ASU)

  1. 22/12/23 to 22/12/2023 Topic:, Technology Enhanced Learning, at FoHSS, AdtU.
  2. 06/02/23 to 12/02/2023 Topic:, Online One Week FDP on Data Analysis Using R, at KKHSOU, Guwahati Assam.
  3. 24/01/23 to 25/01/2023 Topic:, Expert Talk on Image Processing, at KKHSOU, Guwahati Assam.
  4. 16/01/23 to 18/01/2023 Topic:, Research Problem Identification, Defination and Formulation, at KU.
  5. 16/01/23 to 18/01/2023 Topic:, AI in Agriculture, at KU for the GPC, Nagaland.
  6. 08/02/22 to 08/02/2022 Topic:, Application of AI in agriculture technology, online at Bodoland University, Kokrajhar
  7. 17/01/22 to 22/01/2022 Topic:, How to get Research grant, online collaboration of E &ICT Academy, IITG, and NERIST.
  8. 20/12/21 to 26/12/2021 Topic:, How to get Research grant, online collaboration of E&ICT Academy, IITG, and Nalbari College
  9. 10/10/21 Topic:, AI for the new age environment, at KKHSOU, Guwahati.
  10. 14/09/21 and 15/09/21 Topic:, PhD Course Work on ML and CV, at KKHSOU, Guwahati
  11. 16/08/21 Topic:, Application of Machine Learning in Agri-informatics, at RGU (Central University), AP under AICTE ATAL FDP.
  12. 14/08/21 to 15/08/21 Topic:, Python Programming, at Assam Computer Center.
  13. 18/11/20 and 11/11/20 Topic:, Basics of Python Programming, at Classtriq
  14. 15/07/19 Topic:, Website Development as Startup, at CEC, Belsor.
  15. 18/07/18 Topic:, Computer Education and its challenges for villagers, at CEC, Belsor.

Work Experiences (After Joining ASU)

  1. Associate Professor at the IT Department, ASU
  2. Chairman, Nodal Committee for NCVET at Assam Skill University.
  3. Member Convener, AICTE Committee, Assam Skill University 
  4. Member of ASU SAMARTH Core Committee
  5. Member of ASU RDC and Committee Coordinator of Research Program and Policy Development.
  6. Vice President of ASU-IIC. 
  7. BoS Member of ASU-CSE Program
  8. CCS Member - Diploma Courses at KKHSOU.
  9. Admission Cum Counselling Duties—2025-2026 Batch 
  10. Teacher Member for Summer Internship Program—2025-26 batch

Work Experiences (Before Joining ASU)

  1. The Assam down town University, Guwahati March 2023 – 24 March, 2025. Dean and Professor, Faculty of Computer Technology. Role: Monitoring the overall program, including academics and research in the school. Collaboration Done: TCS, IBM, ServiceNow, Kareng Technologies etc.
  2. The Assam Kaziranga University, Jorhat Feb,2022 – Feb, 2023 Dean Research and Associate Professor. Role: Monitoring Overall Research activities of Kaziranga University.  Collaboration Done With IITG, IIT kharagpur, IIT Delhi, Gauhati University KIIT Incubation Centre Many More August,2022 – Feb, 2023 Centre Head - COEDSS. Role: Monitoring, Innovating and Creating Interdisciplinary Research under the Centre of Excellence in Data Science and Simulation. Started new certificate courses in emerging areas such as data science, AI-ML, cybersecurity, and Full Stack Development in collaboration with IBM. Started a new area of research using AR VR Devices. Collaboration Done: IFSA Banglore, IBM
  3. At GIMT- Guwahati Januray, 2021- Februray 2022, Assistant Professor (Sr.) Member of R & C, Coordinator of ERP Cell, Coordinator SDIC,  Joint Coordinator of Program Assessment Committee of Department of CSE, etc.

1. AICTE ATAL VAANI Funded National Conference on "AI for low-Resource Assamese Language"

Funding Agency : AICTE
Principal Investigator: Dr. Utpal Barman
Co-investigator: Dr. Manoj Kumar Deka
Status: Ongoing
Year: 2026
Duration: 2 Days of National Conference

2. AICTE ATAL FDP ON "Real-World AI & ML: From Concept to Deployment in Industry 4.0 and 5.0"

Funding Agency : AICTE
Principal Investigator: Dr. Utpal Barman
Co-investigator: Dr. Manoj Kr. Deka
Status: Completed
Year: 2025
Duration: 7 days

3. DSAPKI-2024

Funding Agency : CDAC Banglore
Principal Investigator: Utpal Barman
Co-investigator: NA
Status: Completed
Year: 2024
Duration: 1 Month

4. iTBI (NIDHI Inclusive Technology Business Incubator) under AdtU

Funding Agency : DST
Principal Investigator: Prof. S B. from AdtU
Co-investigator: Utpal Barman
Status: Completed
Year: 2024
Duration: 3 Years

5. SomadhanAgriTech.- Startup Incubation

Funding Agency : AIC-AAU NEATEHUB
Principal Investigator: Utpal Barman
Co-investigator: NA
Status: Completed
Year: 2024
Duration: 1 Year

6. AICTE Atal FDP on " Semiconductor Materials and Manufacturing Technology"

Funding Agency : AICTE
Principal Investigator: Dr. T V V L N Rao
Co-investigator: Dr. Utpal Barman
Status: Completed
Year: 2024
Duration: 7 days

7. AICTE ATAL FDP On "Semiconductor Materials and Manufacturing Technology"

Funding Agency : AICTE
Principal Investigator: T V V L N Rao
Co-investigator: Utpal Barman
Status: Completed
Year: 2024
Duration: 7 Days

8. NIELIT Consultancy at AdtU

Funding Agency : NIELIT Guwahati
Principal Investigator: Utpal Barman
Co-investigator: NA
Status: Completed
Year: 2023
Duration: 3 months

9. NESID -2022

Funding Agency : SERB
Principal Investigator: T V V L N Rao
Co-investigator: Utpal Barman
Status: Completed
Year: 2022
Duration: 1 Month

10. ALIST -2022

Funding Agency : CSIR
Principal Investigator: T V V L N Rao
Co-investigator: Utpal Barman
Status: Completed
Year: 2022
Duration: 1 Month

11. Design and Development of Rice Disease and Pest Detection System

Funding Agency : NeateHub, AAU, Jorhat.
Principal Investigator: Utpal Barman
Co-investigator: NA
Status: Completed
Year: 2022
Duration: 1 Year

12. Design and Development of a smart farming system to estimate the value of Chlorophyll and Nitrogen for the Tea Plant in Assam

Funding Agency : AICTE
Principal Investigator: Utpal Barman
Co-investigator: NA
Status: Completed
Year: 2019
Duration: 3 years

13. Design and Development of Digital Image Database with an Android Apps and Web system for the detection of major pests and diseases of coconut of Assam

Funding Agency : CDB Kerala
Principal Investigator: Utpal Barman
Co-investigator: Nirmal Mazumder
Status: Completed
Year: 2019
Duration: 3 Years

14. Simulation and prediction of Monsoon on the short and long forecast for the various station of Assam

Funding Agency : ASTU under MHRD, Govt of India
Principal Investigator: Utpal Barman
Co-investigator: Ridip Dev Choudhury
Status: Completed
Year: 2019
Duration: 1.5 Year

15. Development of Computer based system to classify the different disease of Potato, Tomato and Maize

Funding Agency : ASTU under MHRD, Govt of India
Principal Investigator: Utpal Barman
Co-investigator: Ridip Dev Choudhury
Status: Completed
Year: 2019
Duration: 1.5 Years

16. Breast cancer detection from mammo- graphic images using Deep Learning architectures

Funding Agency : ASTU under MHRD, Govt of India
Principal Investigator: Akapita Das
Co-investigator: Utpal Barman, Himanish Shekhar Das
Status: Completed
Year: 2019
Duration: 1.5 Years

1. Title of the Invention :IoT based Smart Parking System for Urban Mobility

Name of the Applicant: Utpal Barman
Application Number: 202331052857
Filing Date:
Year: 2023
Status: Published
Country: India

2. Title of the Invention :A NOVEL SUSTAINABLE IoT OPTIMISED HOUSING SYSTEM FOR SPEED HERBAL MEDICINAL PLANT BREEDING

Name of the Applicant: Utpal Barman
Application Number: 202331052857
Filing Date:
Year: 2022
Status: Published

3. Title of the Invention :A SMART DIGITAL VERMICOMPOST MICRO NUTRIENT QUALITY PRE-DICTION DEVICE

Name of the Applicant: Utpal Barman
Filing Date:
Year: 2022
Status: Published
Country: India

Birshu Sarma

Ph.D

Enrollment No : IT26P0103
Email ID :birshus@asu.ac.in
Year/Batch : 2026
Area of Research : Agri-Informatics

Priyanshu Pal Dutta

Ph.D

Enrollment No : IT26P0111
Email ID :dutta.priyanshupal@asu.ac.in
Year/Batch : 2026
Area of Research : Agri-Informatics

Aman Kumar

Ph.D

Enrollment No : IT26P0109
Email ID :amank@asu.ac.in
Year/Batch : 2026
Area of Research : Agri-Informatics

Selorm Adableneu

Ph.D

Enrollment No : ADTU/RET/24-27/S2/099
Email ID :selorm.adablanu_s@adtu.in
Year/Batch : 2023
Area of Research : Health Informatics at AdtU under Joint Supervison

Pranobjyoti Lahon

Ph.D

Enrollment No : 103407419
Email ID :pranoblahon@gmail.com
Year/Batch : 2019
Area of Research : Smart Grid Stability Prediction using Machine Learning Techniques Role of Dr. Utpal Barman: Co-Supervisor at ASTU Status: Pre-thesis