Education

• B.Tech (CSE), School of  Engineering, Tezpur University
• M.Tech (Information Technology), School of  Engineering, Tezpur University
  
• Ph.D. (Pursuing).

Areas of Interest

Ontology Design,  Machine Learning, Robotics.

Past Experience

• Assistant Professor, Dept. of CSE, Kaziranga University(August 2012- October 2012)
• Assistant Manager(IT), APDCL. (March 2012-August 2012)

 Other Administrative Duties/Assignments

• Associate Training & Placement Officer, Dibrugarh University (Nov 2013-June 2015)
• Startup Coordinator of DUIET Startup Cell under TEQIP III, MHRD
• Member, TEQIP III Procurement Committee, DUIET.
• Assistant Officer I/C Exams 2017-18, DUIET. 
• Faculty Convener, AUXESIS 2019
• Member, Training & Placement Advisory Committee, Dibrugarh University
• Member, Website Technical & Monitoring Committee, Dibrugarh University.
• Member, Center for Technology Innovation & Incubation(CTII), Dibrugarh University.
• Member, Digital Literacy Cell, Dibrugarh University.
• Member, National Academic Depository (NAD) Cell, Dibrugarh University.

Patent

1. Title: A LiDAR point classification system for visualizing and processing LiDAR data and its method there of

    Patentees: Arpan Phukan, Pronam Phukan, Rohit Sinha, Shyamal Hazarika, Abhijit Boruah

    Patent Number: 2021102808

    Date of grant: 02 March 2022

    Patent Office: Commissioner of Patents, IP Australia 

International Journals

1. Abhijit Boruah, Nayan M Kakoty, Tazid Ali, MB Malarvili. Shape oriented object recognition on grasp using features from enclosure based exploratory procedure. International Journal of Intelligent Robotics and Applications. 2022 (Springer)
2. Abhijit Boruah, Nayan M. Kakoty, Tazid Ali. Object Recognition based on Surface Detection - A Review. Procedia Computer Science 133 (2018): 63–74 Elsevier.
3. Partha Pratim Barman and Abhijit Boruah. An RNN based Approach for next word prediction in Assamese Phonetic Transcription. Procedia Computer Science 143 (2018): 117-123, Elsevier.
4. Anurag N. Sarmah, Abhijit Boruah, Daisy Kalita, Darshana Neog, Saumay Paul. A Bio-Inspired Implementation of Walking and Stair Climbing on a Quadruped Robot. Procedia Computer Science, 143 (2018): 671-677, Elsevier.
5.  Abhijit Boruah. A Probabilistic Approach to Detect and Prevent Bandwidth Depletion Attacks. International Journal of Computer Applications 150(5):42-49, September 2016

Book Chapters

1. Manas Jyoti Das, Abhijit Boruah, Jyotirmoy Malakar, and Priyam Bora. Generating Parking Area Patterns from Vehicle positions in an Aerial Image Using Mask R-CNN. In Proceedings of International Conference on Computational Intelligence and Data Engineering, pp. 201-209. Springer, Singapore, 2021.
2. Phukan, Arpan, Pronam Phukan, Rohit Sinha, Shyamal Hazarika, and Abhijit Boruah. Information Encoding, Gap Detection and Analysis from 2D LiDAR Data on Android Environment. In Advanced Computing and Intelligent Engineering, pp. 525-536. Springer, Singapore, 2020.
3. Abhijit Boruah, Kamal Boruah, Biman Das, Manash Jyoti Das, and Niranjan Borpatra Gohain: A Bayesian Approach for Flight Fare Prediction based on Kalman Filter. In: Panigrahi C., Pujari A., Misra S., Pati B., Li KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 714.(2019) Springer, Singapore.
4. Bharali P., Bhuyan C., Boruah A. (2019) Plant Disease Detection by Leaf Image Classification Using Convolutional Neural Network. In: Gani A., Das P., Kharb L., Chahal D. (eds) Information, Communication and Computing Technology. ICICCT 2019. Communications in Computer and Information Science, vol 1025. (2019) Springer, Singapore

International Conferences

1. Boruah A, Ali T, Kakoty NM, Malarvili MB. OROnto: An Ontology for Recognition of Grasping Objects. In 2021 IEEE 18th India Council International Conference (INDICON) 2021 Dec 19 (pp. 1-6). IEEE. (Scopus Indexed)
2. M. Kakoty N, Kalita Z, Boruah A, Chittawadigi RG, Saha SK. Development of A Technology Education Programme based on Self-Driven, Self-Learning and Self-Evaluating Approach. In Advances in Robotics-5th International Conference of The Robotics Society 2021 Jun 30 (pp. 1-5). (Scopus Indexed)
3. Abhijit Boruah, Nayan M. Kakoty, Tazid Ali: Reasoning on Objects' Geometric Shapes for Prosthetic Hand Grasping. International Conference on Advances in Robotics, ACM publication, 2019, IIT Madras. (Scopus Indexed)
4. Abhijit Boruah and Shyamanta M. Hazarika: An MEBN framework as a dynamic firewall's knowledge flow architecture. IEEE International Conference on Signal Processing and Integrated Networks SPIN 2014, pp. 249-254. (Scopus Indexed).

Others

1.  Presented paper titled “Towards Ontology and Semantic Mapping for Multi-Agent Autonomous Robots” at Doctoral Symposium of Advances in Robotics (AIR) 2017,3rd International Conference of Robotics Society of India, IIT Delhi

1. Neural Networks for Machine Learning (CS 501) - 8th Semester (Old Course)
2. Robotics (CS 602) - 8th Semester (Elective)
3. Neural Networks and Deep Learning (CSE Elv 702)- 7th Semester (Elective)
4. Artificial Intelligence (CS 401) - 7th Semester(Old Course)
5. Artificial Intelligence (CS Elv 801) - 8th Semester (Elective)
6. Software Tools (CS 303) - 3rd Semester
7. Data and File Structures (CS 301) - 3rd Semester (Old Course)
8. Programming Languages (CSE 301) - 3rd Semester 
9. Operating Systems (CSE 402) - 4th Semester

Title: Development of A tactile sensory-based grasping controller for electromyographic prosthetic hand.
Role: Co-PI (In collaboration with Tezpur University and IIT Guwahati)
Funding Agency: NECBH, DBT, Govt. of India
Duration: 2.5 years (From April 2019)              Status: Ongoing