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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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Conference (10)

1. 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]

2. 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]

3. 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]

4. 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]

5. 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]

6. 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]

7. 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]

8. 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]

9. 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]

10. 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]

Journal (32)

1. 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]

2. 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]

3. 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]

4. 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]

5. 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]

6. 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]

7. 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]

8. 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]

9. 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]

10. 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]

11. 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]

12. 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]

13. 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]

14. 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]

15. 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]

16. 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]

17. 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]

18. 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]

19. 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]

20. 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]

21. 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]

22. 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]

23. 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]

24. 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]

25. 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]

26. 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]

27. 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]

28. 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]

29. 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]

30. 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]

31. 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]

32. 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]

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

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. Associate Editor in Information Processing in Agriculture Journal (Elesiver) - IF 7.7
  2. Editor in Scientific Reports Journal (Springer Nature)- IF. 3.9
  3. Editor in Discover Sustainability (Springer Nature) - If. 3.0
  4. BoS Member for the Computer Science and Engineering program at ASTU
  5. Liaison Officer and Completed MoU With Kareng Technologies.
  6. 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 it's 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 Genratuve AI" on 29th August, 2025
  7. Invired talk at ISTE Chpater, AEI on "AI for Educators" on 4th September, 2025.
  8. Invited as resource Person at the Faculty Development Programme on “Innovative Technology vis-à-vis New Age Education and Research” being organized 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 "Adavanced 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 "Adavanced 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.

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. BoS Member of ASU-CSE Program
  5. CCS Member - Diploma Courses at KKHSOU.
  6. Admission Cum Counselling Duties—2025-2026 Batch 
  7. 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 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: Ongoing
Year: 2025
Duration: 7 days

2. DSAPKI-2024

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

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

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

4. SomadhanAgriTech.- Startup Incubation

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

5. 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

6. 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

7. NIELIT Consultancy at AdtU

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

8. NESID -2022

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

9. ALIST -2022

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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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