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Dr. Utpal Barman

Dr. Utpal Barman

Dean of Faculty

  • Faculty of Computer Technology

About

Name: Specialization:
Dr. Utpal Barman Artificial Intelligence, Machine Learning, Deep Learning, and Agri-Informatics, AI in Healthcare, Health-Informatics, AI in Education

Qualification

H.S.L.C. from Paschim Chamata High School. 

H.S (Science) from Sankar Dev Academy, Nalbari. 

B.E (CSE) from Assam Engineering College. Under Gauhati University 

M.E (CSE) Gauhati University  

Ph.D. from Gauhati University 

Personal Interest

Reading Book, Learning New Technology

Working Experience

Academic Experience

  1. March 01, 2023 to Till, Professor and Dean, Faculty of Computer Technology, Assam down town University, Guwahati
  2. February 1st, 2022 to February 27, 2023. Dean Research and Associate Professor, Department of CSE, The Assam Kaziranga University, Jorhat, Assam.
  3. January 3, 2011,  to January 2022. Assistant Professor (Senior), Department of CSE, GIMT, Guwahati. 
  4. July 31. 2010 to December 31, 2010. Lecturer, Department of CSE, RIST, Meghalaya. • Teaching and Learning. 

Admin and Research Experience

  1. Dean, Faculty of Computer Technology, Assam down town University, Guwahati from 01/03/2023 to Till
  2. Dean Research, at The Assam Kaziranga University, Jorhat, Assam from 22/04/2022 to 27/02/2023
  3. Head of Incubation at The Assam Kaziranga University, Jorhat, Assam from 8/04/2022 to 27/02/2023
  4. Research Coordinator - School of Engineering Technology,  The Assam Kaziranga University, Jorhat, Assam from 25/02/2022 to 22/04/2022.
  5. Admin Role: ERP Coordinator / ADMIN SPOC of IBM, SPOC of AWS, SPOC of Coursera, [ Value added Course at The Assam Kaziranga University]
  6. Research Member, GIMT Guwahati
  7. PAC Member at GIMT Guwahati
  8. DAB member at GIMT Guwahati
  9. Lab Coordinator at GIMT Guwahati.
  10. Coordinator of SDIC at GIMT Guwahati
  11. Coordinator of ERP Cell at GIMT Guwahati

 

Research

About Research:

Creating and improving algorithms for use in Agri-informatics, climate change, and other applications using computer vision, machine learning, and deep learning. As a result, Dr. Barman can help with both generating innovative solutions to challenging engineering problems. Dr. Barman always loved doing research and coming up with original solutions to problems, therefore he thinks that his background will be useful in any research opportunities. Dr. Barman focuses on analysing several facets of AI, including Machine and Deep Learning, and its range of applications in the Agri-computing industry. Dr. Barman thinks that having worked on funded research projects and having experience in the fields of machine learning, deep learning, and computer vision has given him the technical know-how to do more and grow my career. Dr. Barman will be happy enough to work in the following research areas using AI/ML and AR VR.

  1. AI applications for crop health monitoring (disease detection) and yield monitoring.
  2. AI applications in Education Technology.
  3. AI in Healthcare, AR-VR in health care.
  4. Drone-based technology for crop health monitoring and disease control.
  5. Robotics application in agriculture for planting and harvesting of vegetables and fruits.
  6. Development of AR VR-based Agri-computing technology for the betterment of farmers.

Research project:

  1. AIC-AAU NEATEHUB startup funded under ISANYA 7.0 for the startup SomadhanAgriTech. Sanction amounts Rs. 5,00,000/-,(Role: Founder)
  2. AdtU Sponsored SEED grant entitled "Pharmacological Exploration of Anti-PCOS Properties of Selected Medicinal Plants from Northeast India in Experimentally Obese Animals and Developing an AI-Based Prediction Tool for PCOS in Young Women". Sanction amount: Rs. 5,00,000/- Completion Time: 1 Year. (Role : Co-PI)
  3. AdtU Sponsored SEED grant entitled "Detection of possible health disorders based on the movement of cows using ensemble machine learning algorithms". Sanction amount: Rs. 3,00,000/- Completion Time: 1 Year. (Role : Co-PI)
  4. AdtU Sponsored SEED grant entitled "Design a Computer-aided diagnosis/ detection (CAD) system for Alzheimer’s Disease based on Medical Images". Sanction amount: Rs. 3,00,000/- Completion Time: 1 Year. (Role : Co-PI)
  5. AdtU Sponsored SEED grant entitled "Diagnosis of Polycystic Ovary Syndrome with Machine Learning and Data Analysis". Sanction amount: Rs. 3,00,000/- Completion Time: 1 Year. (Role : Co-PI)
  6. AdtU Sponsored SEED grant entitled "Empowering Sustainable Tea Farming through AI driven pest and disease detection". Sanction amount: Rs. 3,00,000/- Completion Time: 1 Year. (Role : PI)
  7. NIELIT Guwahati Sponsored Consultancy project entitled "NIELIT FREE COURSES at AdtU". Sanction amount: Rs. 3,00,000/- Completion Time: 3 Months. (Role : PI)
  8. KU Sponsored SEED grant entitled " Digital Preservation and Identification of Bihu Dance applying Deep Learning Techniques". Sanction amount: Rs. 3,20,000/-  Sanction date: 21/06/2022
  9. AAU - NEATEHUB sponsored Incubation Project entitled "Design and development of AI-enabled Smartphone application for the early detection of rice disease in Assam" Sanction Amount: Non-Recurring Rs. 1,00,000 / - and Recurring Rs. 1,20,000/- for 3 Months. Sanction date: 01/08/2022
  10. AICTE (RPS-NER) Sponsored a research project entitled “Design and Development of a smart farming system to estimate the value of Chlorophyll and Nitrogen for the Tea Plant in Assam”. Sanction amounts Rs. 6,66,000/-, Sanction Year- 2019 (March), Completion Year – 2022 (March). Role- Principal Investigator. (Status : Completed) (Product outcome: https:/teachlorophyll.herokuapp.com/ )
  11. CDB (Kerala) Sponsored research project entitled “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”. Sanction amounts Rs. 18,41,000/-, Sanction Year- 2019 (March), Completion Year – 2021 (March). Role- Co-Principal Investigator in collaboration with Assam Agricultural University.
  12. ASTU (TEQIP III) Sponsored research project entitled “Simulation and prediction of Monsoon on the short and long forecast for the various station of Assam”. Sanction amounts Rs. 2,74,000/-, Sanction Year- 2019 (August), Completion Year – 2021 (March). Role- Principal Investigator in collaboration with KKHSOU, Guwahati. (Status : Completed)
  13. ASTU (TEQIP III) Sponsored research project entitled “Development of Computer based system to classify the different disease of Potato, Tomato and Maize”. Sanction amounts Rs. 2,74,000/-, Sanction Year- 2019 (August), Completion Year – 2021 (March) Role - Principal Investigator in collaboration with Barak Valley Engineering College. (Status : Completed)
  14. ASTU (TEQIP III) Sponsored research project entitled “Breast cancer detection from mammographic images using Deep Learning architectures”. Sanction amounts Rs. 3,00,000/-, Sanction Year- 2019 (August), Completion Year – 2021 (March). Role - Co-Principal Investigator in collaboration with Cotton University. (Status : Completed)
  15. Ezen Software and Technology Pvt. Ltd. Sponsored Consultancy entitled “IT Consultant For NENOW News Portal/ App & Web Developer For NE-JOBS Portal”. Consultancy amounts Rs. 1,99,152/-, Sanction Year- 2017, Completion Year – 2018. Role -Joint Consultant. (Status : Completed 

Conference / Symposium / FDP Funding

  1. NESID -2022 - Role: Co-Chairman, , Amount: Rs. 2,00,000/ - SERB Assistance to
    Professional Bodies and Seminar Symposia (File No: SSY/2022/000681)
  2. ALIST -2022 - Role: Co-Chairman, , Amount: Rs. 50,000/ - from CSIR (Ref No:SYM/11944-22 HR, Dated: October 20, 2022)

Consultancy For AICTE BOOK Translation into the Assamese Language

  1. Reviewer, Subject: Data Structure and Algorithm - Sponsored and Authorized Assam Science
    and Technology University [ AICTE CELL]
  2. Reviewer, Subject: Computer Programming Theory and Practices - Sponsored and Authorized Assam Science and Technology University [ AICTE CELL]

PhD Supervision

  • Dr. Chinmoy Bhardwaj Topic: A Study on QoS analysis and optimization in Edge Networks Status: Awarded
  • Ms. Solem AdablenuTopic: ADVANCING BRAIN STROKE DIAGNOSIS THROUGH ADAPTIVE TRANSFER LEARNING: AN INVESTIGATION INTO IMPROVED CLASSIFICATION AND DETECTION TECHNIQUES, Status: Ongoing
  • Mr. Pranab Jyoti Lahon  Topic: Smart grid stability prediction using machine and deep learning Status:Ongoing
  • Mr. Amar Jyoti Pathak Topic: Machine Learning in Malware Indentification Status: Ongoing
  • Ms. Baishanvai Topic: Recognizing and protecting the traditional Handlooms of Assam leveraging machine and deep learning techniques Status: Ongoing

Publication

Paper On Work/Communicated/Accepted

  1. Utpal Barman, Amar Jyoti Pathak, “Digital Permission-based Android Malware detection Mechanisms with feature reduction”, In Multimedia Tools and Applications(SCIE) (I.F:2.57)Status : Under Review.
  2. Utpal Barman, Pranabjyoti Lahon, “Smart Grid Stability Analysis using Machine learning algorithms”, In International Journal of Information Technology (SCOPUS)Status: Under Review.
  3. Utpal Barman, Nilakshi Gogoi, “Identification of Socio-Economic Drivers of Suicide in India:An Evidence based Analysis”, In (Science, Technology and Society - SAGE) (SCIE) Status:Under Review
  4. Dipankar Dutta, Ridip Dev Choudhury, and Utpal Barman, “Development and evaluation of an emotional speech corpus in the Assamese language”, In (IJIT - Springer) (SCOPUS)Status :Under Review
  5. Utpal Barman, Nilakshi Gogoi, “Digital Identification of Indian Dance using Convolution Neutral Network”, In (Journal of Cultural Heritage) (SCOPUS) Status : Under Review
  6. Utpal Barman, Chandanee Pathak, “Digital Identification of Coconut Pest using Modified Transfer learning based CNN techniques”, In SUSCOM - ELSEVIER (Under Review) (SCIE) (I.F:4.9).
  7. Utpal Barman, “TeaChloro: A digital Chlorometer for the tea leaves using 1D-CNN, ANN, SVR, and LR using contact imaging Techniques in Agri-informatics”, In Expert systems with applications (Under Review) (SCIE) (I.F:6.9).

Selected Published Papers 

  1. Debdeep Saha and Utpal Barman. Illustration of maiden frequency control scheme of combined cycle gas turbine and doubly fed induction generator integrated distributed energy resources based ai-enabled isolated power system. Electrical Engineering (Springer) (SCI (IF:1.8)), 2024.
  2. Kalita A, Singh P, Baruah S, Barman U, Saikia AP. A discussion to promote global sustainability techniques for motivating plastic waste to minimize carbon footprints. Environmental Quality Management (SCOPUS). 2023.
  3. Barman, U. et al. (2023). Performance analysis of support vector machine for early identification of citrus diseases.Journal of Applied and Natural  Science (SCOPUS),  15(2), 852 -859. https://doi.org/10.31018/jans.v15i2.463
  4. Bharadwaj C, Barman U, Saha S (2023) 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 (WoS) 16(8): 531-539. http s://doi.org/10.17485/IJST/v16i8.2051
  5. Barman, Utpal, Chandanee Pathak, and Nirmal Majumder. “Comparative assessment of pestdamage identification of coconut plant using damage texture and color analysis. Multimedia Tools and Applications (Accepted) (SCIE) I.F:2.57, 2023.
  6. Barman, Utpal, Ridip Dev Choudhury, and Shikhar Kr. Sarma. Smartphone assisting convolutional neural networks for soil texture classification in dry and wet humid conditions in West Guwahati, Assam. Journal of Applied and Natural Sciences, volume 13, pages 1191–1202. ANFS (SCOPUS), 2022.
  7. Barman, Utpal, Vishal Barman, Nawaz Khan Choudhury, Mustafizur Rahman, and Shikhar Kumar Sarma. Unsupervised Extractive News Articles Summarization leveraging Statistical, Topic-Modelling and Graph based Approaches. NIScPR-CSIR, JSIR, India ((SCIE, IF = 0.55)), 2022.
  8. Dipankar Dutta, Ridip Dev Choudhury, and Barman, Utpal. Assamese Speech-based Vocabulary Identification System using Convolutional Neural Network. International Journal of Computing and Digital Systems, volume 12, pages 1191–1202. University of Bahrain (SCOPUS), 2022.
  9. Barman, Utpal, Ridip Dev Choudhury, Bipul Kumar Talukdar, George Bhokta, Sahrul Alom Choudhari, and Abhinab Saikia. Smartphone assist deep neural network model to recognize the high-quality tea using leaf maturity and its effect on leaf chlorophyll. Journal of Applied and Natural Science (SCOPUS), volume 13, pages 1249–1255, 2021.
  10. Barman, Utpal and Ridip Dev Choudhury. Smartphone Assist Deep Neural Network to Detect the Citrus Diseases in Agri-Informatics. Global Transitions Proceedings. Elsevier, 2021.
  11. Barman, Utpal. Deep Convolutional neural network (CNN) in tea leaf chlorophyll estimation: A new direction of modern tea farming in Assam, India. Journal of Applied and Natural Science (SCOPUS), volume 13, pages 1059–1064, 2021.
  12. Barman, Utpal, Ridip Dev Choudhury, Diganto Sahu, and Golap Gunjan Barman. Comparison of convolution neural networks for smartphone image based real time classification of citrus leaf disease. Computers and Electronics in Agriculture, volume 177, page 105661.Elsevier, SCIE, IF = 6.7, 2020.
  13. Barman, Utpal and Ridip Dev Choudhury. Soil texture classification using multi class support vector machine. Information processing in agriculture, volume 7, pages 318–332. Elsevier SCOPUS, IF = 0.76, 2020.
  14. Barman, Utpal and 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. Elsevier, SCIE, IF = 9.006, 2020.
  15. Barman, Utpal, Uzzal Sharma, Animesh Sarmah, and Pranoy Bhowmick. Double Stage chain routing Protocal in WSN. ADBU Journal of Engineering Technology, volume 8, 2019. 2019
  16. Barman, Utpal and Ridip Dev Choudhury. Prediction of Soil pH using Smartphone based Digital Image Processing and Prediction Algorithm. Journal of Mechanics of Continua and Mathematical Sciences (ESCI WoS), volume 14, pages 226–249, 2019.
  17. Barman, Utpal and Ridip Dev Choudhury. Bacterial and Virus affected Citrus Leaf Disease Classification using Smartphone and SVM. IJRTE (SCOPUS), 2019.

Patent Granted / Published

  1. Utpal Barman, “IoT based Smart Parking System for Urban Mobility [ Indian Patent- Application No: 202331052857] ”, Status : Published .
  2. Utpal Barman, “A NOVEL SUSTAINABLE IoT OPTIMISED HOUSING SYSTEM FOR SPEED HERBAL MEDICINAL PLANT BREEDING[Indian Patent, Status : Published]
  3.  Utpal Barman, “A SMART DIGITAL VERMICOMPOST MICRO NUTRIENT QUALITY PRE-DICTION DEVICE [ Indian Patent-, Status: Published].

Selected Conference Proceeding and Book Chapter Publications
Total Conference: 13 Nos, Book Chapter in International Publishers: 5

  1. Barman, Utpal, Angshuman Borpujari, Gitartha Kalita, Manish Saikia, Anindita Bhagawati, Akash Chetry, Anish Modi, and Mrina K. Mishra. Digital Farming in Agriculture: A way to create digital leadership in NER. ALIST, 2022
  2. Naveen Kumar, Barman, Utpal, masset J Patrick, and TVVVLN Rao. Triboinformatic approaches for composite coatings on titanium alloys. IIT Delhi, 2022
  3. Barman, Utpal, Animesh Sarmah, Diganto Sahu, and Golap Gunjan Barman. Estimation of Tea Leaf Chlorophyll Using MLR, ANN, SVR, and KNN in Natural Light Condition. In Proceedings of the International Conference on Computing and Communication Systems: I3CS 2020 (SCOPUS), NEHU, Shillong, India, volume 170, page 287. Springer, 2021
  4. Barman, Utpal, Diganto Sahu, and Golap Gunjan Barman. Comparison of LR, SVR, and DNN for the Rainfall Forecast of Guwahati, Assam. In Proceedings of the International Conference on Computing and Communication Systems: I3CS 2020, NEHU, Shillong, India, volume 170, page 297. Springer, SCOPUS, 2021.
  5. Barman, Utpal, Diganto Sahu, and Golap Gunjan Barman. A Deep Learning Based Android Application to Detect the Leaf Diseases of Maize. In Proceedings of the Sixth International Conference on Mathematics and Computing (SCOPUS), pages 275–286. Springer, 2021.
  6. Barman, Utpal, Asif Ekbal Hussain, Mridul Jyoti Dahal, Puja Barman, and Mehnaz Hazarika. Time Series Analysis of Assam Rainfall Using SARIMA and ARIMA. In Smart Computing Techniques and Applications, pages 357–364. Springer, SCOPUS, 2021.
  7. Barman, Utpal, Vishal Barman, Mustafizur Rahman, and Nawaz Khan Choudhury. Graph Based Extractive News Articles Summarization Approach leveraging Static Word Embeddings. In 2021 International Conference on Computational Performance Evaluation (ComPE) (SCOPUS),pages 008–011. IEEE, 2021.
  8. Barman, Utpal, Diganto Sahu, Golap Gunjan Barman, and Jayashree Das. Comparative Assessment of Deep Learning to Detect the Leaf Diseases of Potato based on Data Augmentation. In 2020 International Conference on Computational Performance Evaluation (ComPE) SCOPUS, pages 682–687. IEEE, 2020.
  9. Barman, Utpal, Ridip Dev Choudhury, Asif Ekbal Hussain, Mridul Jyoti Dahal, Puja Barman, and Mehnaz Hazarika. Comparatve Assessment of AR, MA and ARMA for the Time Series Forecasting of Assam and Meghalaya Rainfall Division. In 2020 International Conference on Computational Performance Evaluation (ComPE) (SCOPUS), pages 507–511. IEEE, 2020.
  10. Akalpita Das, Himanish Shekhar Das, Barman, Utpal, Arijeet Choudhury, Sourav Mazumdar, and Anupal Neog. Detection of Breast Cancer from Mammogram Images Using Deep Transfer Learning. In International Symposium on Signal Processing and Intelligent Recognition Systems, SCOPUS, pages 18 27. Springer, 2020.
  11. Barman, Utpal, Ridip Dey Choudhury, and Ikbal Uddin. Prediction of Soil pH using K mean Segmentation and HSV Color Image Processing. In 2019 6th International Conference on Computing for Sustainable Global Development (INDIACom), WoS/SCOPUS, pages 31–36. IEEE, 2019.

Book Edited

  1. Utpal Barman, Book: Computer Graphics and Multimedia, Publisher: IDOL, Gauhati University.
  2. Utpal Barman, Book:Programming in JAVA, Publisher: KKHSOU, GU.
  3. Utpal Barman, Book: Adavancement of Computer Technology, Publisher: AdtU.

Book Chapters in Reference Book and Self Learning Material (SLM)

  1. One Book Chapter, entitled “Simplification of Boolean Algebra”, under the SLM of IDOL, GU in Year 2018 (August).
  2. One Book chapter entitled “Planning the Computer Program” and Unit 4: Techniques of Problem solving using Computers for Book (Paper) entitled “Problem Solving using Computers” under KKHSOU in the year 2021 (April).
  3. One Book chapter entitled “Techniques of Problem solving” for Book (Paper) entitled “Problem Solving using Computers” under KKHSOU in the year 2021 (April).
  4. One Book chapter entitled “Priority Queue ADT I” for Book (Paper) entitled “Advanced Data Structure” under IDOL, GU in the year 2021 (August).
  5. One Book chapter entitled “Priority Queue ADT II” for Book (Paper) entitled “Advanced Data Structure” under IDOL, GU in the year 2021 (August).
  6. One Book chapter entitled “Partition ADT II” for Book (Paper) entitled “Advanced Data Structure” under IDOL, GU in the year 2021 (August).
  7. One Book chapter entitled “Tress and B+ Tree” for Book (Paper) entitled “Advanced Data Structure” under IDOL, GU in the year 2021 (August).
  8. One Book chapter entitled “Distributed Database” for Book (Paper) entitled “Advanced DBMS” under IDOL, GU in the year 2021 (July).
  9. One Book chapter entitled “Image and Multimedia Database” for Book (Paper) entitled “Advanced DBMS” under IDOL, GU in the year 2021 (July).
  10. One Book chapter entitled “Spatial Database” for Book (Paper) entitled “Advanced DBMS” under IDOL, GU in the year 2021 (July).
  11. One Book chapter entitled “Software Maintenance Model” for Book (Paper) entitled “Software Engineering” under IDOL, GU in the year 2021 (August).
  12. One Book chapter entitled “Trees” for Book (Paper) entitled “Mathematical Foundation of Computer Science” under IDOL, GU in the year 2021 (August).
  13. One Book chapter entitled “Secondary Storage Management” for Book (Paper) entitled “Operating System” under IDOL, GU in the year 2021 (August).
  14. One Book chapter entitled “System Concept” for Book (Paper) entitled “System Analysis and Design” under KKHSOU in the year 2021 (July).
  15. One Book chapter entitled “Database Design” for a Book (Paper) entitled “System Analysis and Design” under KKHSOU in the year 2021 (July).
  16. One Book chapter entitled “Project Scheduling” for Book (Paper) entitled “System Analysis and Design” under KKHSOU in the year 2021 (July).
  17. One Book chapter entitled “Multiprocessor Systems” and for Book (Paper) entitled “Operating System” under KKHSOU in the year 2021 (July)
  18. One Book chapter entitled “Distributed Operating Systems”) for Book (Paper) entitled “Operating System” under KKHSOU in the year 2021 (July)
  19. One Book chapter entitled “Introduction to Multiprogramming System” and for Book (Paper) entitled “Operating System” under KKHSOU in the year 2021 (July)

 

Awards & Achievements

Acting as Reviewer

A. Journal

1.    Computer and Electronics in Agriculture (Elsevier SCI Journal)

2.    Catena (Elsevier SCI Journal)

3.    Information Processing in Agriculture (Elsevier SCOPUS / ESCI Journal)

4.    IAES International Journal of Artificial Intelligence (IJ-AI) (SCOPUS Journal)

5.    Indonesian Journal of Electrical Engineering and Computer Science (SCOPUS Journal)

6.    Artificial Intelligence Reviews (Springer- SCI Journal)

7.    Scientia Iranica (SCI Journal)

8.    Artificial Intelligence Review (SCI Journal / Springer)

9. Bulletin of electrical engineering and informatics (BEEI) (SCOPUS)

10. Journal of Applied and Natural sciences (SCOPUS)

11. Current Science Journal (SCI)

12. Engineering Applications of Artificial Intelligence (SCI)

13. Multimedia Tools and Applications (SCI / Springer)

14. International Journal of Computing and Digital Systems (SCOPUS)

B. Conference

1.    INDACOM 2017, IEEE CONFERENCE (TPC and Reviewer)

2.    INDIACOM 2018, IEEE CONFERENCE (TPC and Reviewer)

3.    INDIACOM 2019, IEEE CONFERENCE (TPC and Reviewer)

4.    COMPE 2020, IEEE CONFERENCE (Session Chair, TPC and Reviewer)

5.    COMPE 2020, IEEE CONFERENCE (Session Chair, TPC and Reviewer)

6.    2020 5th IEEE International Conference on Computing, Communication and Automation (Reviewer)

7.    COMPE 2021, IEEE CONFERENCE (TPC)

Recognition

  1. Mentor of Smart India Hackathon (Grand Finale),, (2017) (Awarded By AICTE)
  2. TPC of IEEE INDIACOM Conference (2017)(BVICAM, New Delhi)
  3. TPC of IEEE INDIACOM Conference (2018)(BVICAM, New Delhi)
  4. Judge of Smart India Hackathon (Grand Finale), (2018) (Awarded By AICTE)
  5. TPC of IEEE INDIACOM Conference (2019) (BVICAM, New Delhi)
  6. Mentor of Smart India Hackathon (Grand Finale),, 2019, (Awarded By AICTE)
  7. Session Chair, ComPE 2020, IEEE conference (Awarded By NEHU, Shillong)
  8. Session Chair, ComPE 2020, IEEE conference (Awarded By NEHU, Shillong)
  9. Mentor of Smart India Hackathon (Grand Finale), 2020, (Awarded By AICTE)
  10. Session Chair, ComPE 2021, IEEE conference (Awarded By NEHU, Shillong)
  11. Mentor of Smart India Hackathon (Grand Finale), (2022) (Awarded By AICTE)

Recognition as Editor

  1. Editorial Board member, Journal of Applied and Natural Sciences, SCOPUS
  2. Editorial board member for MC Agriculture & Environmental Sciences
  3. Bentham Science Ambassador for The Chinese Journal of Artificial Intelligence

Award

  1. AICTE SIH 2022 Winner (Mentor)
  2. Commitment to Excellence Award, 2022 at Kaziranga University