Dr. BC Roy Engineering College, Durgapur

Computer Applications (MCA)

Department of Computer Applications is a pioneer department of Dr. B.C. Roy Engineering College, Durgapur, established in 2005. Currently, the department offers a 2-year MCA (Masters of Computer Applications) with a wide variety of emerging fields in Machine Learning, Artificial Intelligence, Data Science and Computer Vision.

This department is bestowed with an experienced team of faculty members with an excellent academic track record and proficiency in data science, machine learning and cyber security. In the last couple of years, the department has published more than 50 pepers in reputed journals and proceedings of conferences.

The curriculum of the department provides a good theoretical foundation through high-quality teaching and extensive practical training to make them industry-ready. In addition to the regular curriculum, the department organizes workshops, technical seminars, faculty development programs (FDP), short-term training programs (STTP), and conferences to expose the students to real-world problems catering to industrial and societal needs.

OVERVIEW

The MCA (Masters of Computer Applications) program's goal is to provide comprehensive training to postgraduate students so that they can equip themselves with the knowledge of relevant specialisations in light of quickly changing technology and satisfy industry demands with the necessary skill sets.

The department has well-qualified and experienced faculty members to manage the Master's program's diverse subjects. Dr. Pabitra Kumar Dey, leads the department admirably. The department has produced two University Ranks, and every year, 90 percent of students graduate with Distinction.

The current intake of the program is 120. The program is approved by AICTE and affiliated to Maulana Abul Kalam Azad University of Technology West Bengal.

Vision

To achieve excellence in quality teaching in Post Graduate level.

Mission

To make students well- competent with software market.
To make selected group of students well competent with recent trends in higher research.
To make students highly presentable with their attitude, communication and technical abilities.
To provide a fully homely atmosphere to students coming to study far away leaving home.
To provide strong mental support & encouragement to students with poor background in graduation level to remove any sort of infuriate complex.
To accomplish the entire task of teaching- learning process amidst fully planned and systematic approach, so as to get recognition of national level in future.

HOD Details

DR. PABITRA KUMAR DEY

Ph.D. (Comp. Sc.), M.Tech. (CST), MCA

Contact No: +91-9434476503

Contact Email: pabitra.dey@bcrec.ac.in

Message from HOD

The MCA (Masters of Computer Applications) program is a 2-year postgraduate degree program that provides teaching and learning in various aspects of computer applications as required by industry. This is a course that will help students’ advances in their profession.

This program comprises of three semesters of master’s degree program followed by research projects and dissertations/industrial training in the final semester.

• Two decades of experience and competence in running top-tier MCA programmes.

• A team of highly skilled and experienced faculty members give their all with a single-minded emphasis on learning facilitation, creative technique, individual attention, and meticulous grooming.

• 360-degree grooming to enhance interpersonal, leadership, and management abilities.

I welcome you to be a part of this journey at MCA, BCREC

List of Faculty

Biswesar Ghosh	Assistant Professor
Dr. Pabitra Kumar Dey (HOD)	Professor
Dr. Falguni Chakraborty	Associate Professor
Debasis Guha	Assistant Professor
Ansuman Mahanty	Assistant Professor
Subhrangsu Chandra	Assistant Professor
Uday Kumar Banerjee	Assistant Professor
ANUPAM BAIDYA	Assistant Professor
Pradipta Pal	Assistant Professor

List of Technical Staff

MONALISHA KAR

Technical Staff

Achievements

Last year 2- students received in highest package in campus drive.
Some students of this department completed his/her Ph.D. degree from reputed university.
Almost all students worked at MNC, School, College, Bank, etc.
The students of MCA, BCREC are well known for their regularity, discipline, attitude and sincerity.
NPTEL Topper
Last Year 12 students published their research work in Springer book series.

Laboratories

Computer Programming Lab
Database Lab
Project Lab
Web Technology Lab
IOT & R-D Lab
Soft Skill & Interpersonal Communications Lab

Area of Research

Image Processing & Computer Vision
Artificial Intelligence & Machine Learning
Cyber Security
Optimization & Soft Computing
Cognitive Science

Faculty Activity

Publications

Journal

Date	Name	Description	DOI	Link
05-11-2025	Dr. Falguni Chakraborty	The multi-level image segmentation in dermatology application using an enhance Secretary Bird Optimization Algorithm : Ruba Abu Khurma, Marwa M. Emam, Falguni Chakraborty, Saher Mohamed & Mohammed Azmi Al-Betar : Scientific Reports	DOI	View
05-09-2025	Dr. Falguni Chakraborty	Optimised Multilevel Image Thresholding Leveraging Enhanced Elephant Herding and Symbiotic Organisms Search : Falguni Chakraborty ,Ruba Abu Khurma,David Camacho,Miguel Angel Diaz : EXPERT SYSTEM	DOI	View
14-07-2025	Dr. Falguni Chakraborty	Multi-objective Windy Postman Problem in a Fuzzy Transportation Network : Debosree PAL, Haresh Kumar SHARMA, Olegas PRENTKOVSKIS, Falguni CHAKRABORTY, Lijana MASKELIŪNAITĖ : Promet - Traffic & Transportation	DOI	View
02-06-2025	Debasis Guha	. Prediction of Different Water Quality Parameters using Regression Model : Paragkanti Chattopadhyay1, Sumit Banerjee2, Chandan Kumar Chanda3, Debasis Guha4, Sourav Bhattacharya5 : Journal of Technology	DOI	View
30-11-2024	Dr. Falguni Chakraborty	An efficient multilevel thresholding image segmentation through improved elephant herding optimization : Falguni Chakraborty,Provas Kumar Roy : Evolutionary Intelligence, Springer Nature	DOI	View
04-10-2024	Dr. Falguni Chakraborty	AStudyof the Multi-Objective Neighboring Only Quadratic MinimumSpanning Tree Problem in the Context of Uncertainty : Debosree Pal, Haresh Kumar Sharma ,Olegas Prentkovskis,Falguni Chakraborty, Lijana Maskeli¯ unait˙ : Applied Sciences	DOI	View
29-08-2024	Dr. Pabitra Kumar Dey (HOD)	Optimising IPL squad composition: a mathematical framework for efficient team selection on a limited budget in a multi-criteria, multi-objective environment : Pabitra Kumar Dey, Abhijit Banerjee, Dipendra Nath Ghosh : International Journal of Data Analysis Techniques and Strategies (IJDATS)	DOI	View
18-04-2024	Dr. Pabitra Kumar Dey (HOD)	Statistical-based multi-criteria decision making approach for prediction of the grade of an institution in NAAC : Sukarna Dey Mondal, Dipendra Nath Ghosh, Pabitra Kumar Dey : International Journal of Mathematics in Operation Research (IJMOR)	DOI	View
24-01-2024	Dr. Falguni Chakraborty	FNN for Diabetic Prediction Using Oppositional Whale Optimization Algorithm : RAJESH CHATTERJEE, MOHAMMAD AMIR KHUSRU AKHTAR, DINESH KUMAR PRADHAN, FALGUNI CHAKRABORTY, MOHIT KUMAR, SAHIL VERMA , RUBA ABU KHURMA AND MARIBEL GARCÍA-ARENAS : IEEE Access	DOI	View
04-03-2023	Ansuman Mahanty	A Novel Image Encryption Technique with Four Stage Bit-Interspersing and A 4D-Hyperchaotic System : S. Pal, A. Mahanty, A. Pathak, J. Karmakar, H. . Mondal, and M. Mandal : ECTI Transactionson Computer and Information Technology	DOI	View
25-05-2021	Dr. Pabitra Kumar Dey (HOD)	Prediction of NAAC Grades for Affiliated Institute with the help of Statistical Multi Criteria Decision Analysis : Sukarna Dey Mondal, Dipendra Nath Ghosh, Pabitra Kumar Dey : International Journal of Engineering and Applied Physics (IJEAP)	DOI	View
01-04-2021	Dr. Falguni Chakraborty	A novel chaotic symbiotic organisms search optimization in multilevel image segmentation : Falguni Chakraborty · Provas Kumar Roy · Debashis Nandi : Soft Computing	DOI	View
10-10-2020	Dr. Falguni Chakraborty	Elephant Herding Optimization for Multi-Level Image Thresholding : Falguni Chakraborty · Provas Kumar Roy · Debashis Nandi : International Journal of Applied Metaheuristic Computing	DOI	View
01-04-2020	Dr. Falguni Chakraborty	Symbiotic Organisms Search Optimization for Multilevel Image Thresholding : Falguni Chakraborty · Provas Kumar Roy · Debashis Nandi : International Journal of Swarm Intelligence Research	DOI	View
13-06-2019	Dr. Falguni Chakraborty	Oppositional symbiotic organisms search optimization for multilevel thresholding of color image : Falguni Chakraborty,Debashis Nandi.Provas Kumar Roy : Applied Soft Computing	DOI	View
21-05-2019	Dr. Falguni Chakraborty	Oppositional elephant herding optimization with dynamic Cauchy mutation for multilevel image thresholding : Falguni Chakraborty · Provas Kumar Roy · Debashis Nandi : Evolutionary Intelligence	DOI	View
08-07-2015	Dr. Pabitra Kumar Dey (HOD)	IPL Team Performance Analysis: A Multi-Criteria Group Decision Approach in Fuzzy Environment : Pabitra Kumar Dey, Dipendra Nath Ghosh, Abhoy Chand Mondal : International Journal of Information Technology and Computer Science (IJITCS)	DOI	View
05-05-2014	Dr. Pabitra Kumar Dey (HOD)	AHP-Neural Network Based Player Price Estimation in IPL : Pabitra Kumar Dey, Abhijit Banerjee, Dipendra Nath Ghosh, Abhoy Chand Mondal : International Journal of Hybrid Information Technology (IJHIT-SERSC)	DOI	View
13-11-2013	Dr. Pabitra Kumar Dey (HOD)	Compute Attributes Contribution for Player Pricing in Indian Premier League : Pabitra Kumar Dey, Abhoy Chand Mondal : Annals of Pure and Applied Mathematics (APAM)	DOI	View
10-10-2013	Dr. Pabitra Kumar Dey (HOD)	Modified Group Decision Algorithm for Performance Appraisal of Indian Premier League Cricketers : Pabitra Kumar Dey, Dipendra Nath Ghosh, Abhoy Chand Mondal : WSEAS Transactions on Information Science and Applications (WSEAS-TOISA)	DOI	View
21-03-2013	Dr. Pabitra Kumar Dey (HOD)	Multi-Criteria Decision Tree Approach to Classify All-Rounder in Indian Premier League : Pabitra Kumar Dey, Dipendra Nath Ghosh, Abhoy Chand Mondal : International Journal of Advanced Science and Technology (IJAST-SERSC)	DOI	View
12-03-2013	Dr. Pabitra Kumar Dey (HOD)	Cluster Detection Analysis Using Fuzzy Relational Database : Pabitra Kumar Dey, Gangotri Chakraborty, Suvobrata Sarkar : International Journal of Information and Electronics Engineering (IJIEE)	DOI	View
10-09-2012	Dr. Pabitra Kumar Dey (HOD)	Faculty Selection in Engineering Organization using AHP & TOPSIS : Pabitra Kumar Dey, Saindhab Chattaraj, Dipendra Nath Ghosh : International Journal of Information and Computing Science (IJICS)	DOI	View
01-08-2012	Dr. Pabitra Kumar Dey (HOD)	A Data Mining Approach on Cluster Analysis of IPL : Pabitra Kumar Dey, Gangotri Chakraborty, Purnendu Ruj, Suvobrata Sarkar : International Journal of Machine Learning and Computing (IJMLC)	DOI	View
01-07-2012	Dr. Pabitra Kumar Dey (HOD)	Statistical Based Multi-Criteria Decision Making Analysis for Performance Measurement of Batsmen in Indian Premier League : Pabitra Kumar Dey, Dipendra Nath Ghosh, Abhoy Chand Mondal : International Journal of Advanced Research in Computer Science (IJARCS)	DOI	View
01-07-2012	Dr. Pabitra Kumar Dey (HOD)	Fuzzy Clustering Technique in IPL database : Pabitra Kumar Dey : International Journal of Advanced Computer Science (IJACS)	DOI	View
13-06-2012	Dr. Pabitra Kumar Dey (HOD)	Best Engineering College Selection Through Fuzzy Multi- Criteria Decision Making Approach: A Case Study : Sonu Rana , Pabitra Kumar Dey and Dipendra Nath Ghosh : Universal Journal of Applied Computer Science and Technology (UNIASCIT)	DOI	View
11-11-2011	Dr. Pabitra Kumar Dey (HOD)	A MCDM Approach for Evaluating Bowlers Performance in IPL : Pabitra Kumar Dey, Dipendra Nath Ghosh and Abhoy Chand Mondal : Journal of Emerging Trends in Computing and Information Sciences (Cisjournal)	DOI	View
24-08-2011	Dr. Pabitra Kumar Dey (HOD)	Multi Criteria Fuzzy Classification of IPL3 : Pabitra Kumar Dey, Dipendra Nath Ghosh : International Journal of Information and Computing Science (IJICS)	DOI	View
16-11-2010	Dr. Pabitra Kumar Dey (HOD)	Cryptography In The Light of Quantum Computing & Cellular Automata : Pabitra Kumar Dey, Partha Sarathi Goswami : The Bulletin of Engineering and Science (BES)	DOI	View
20-03-2009	Dr. Pabitra Kumar Dey (HOD)	Security Identification in Quantum Cryptosystem : Partha Sarathi Goswami, Pabitra Kumar Dey : The Bulletin of Engineering and Science (BES)	DOI	View

Conference

Date	Name	Description	DOI	Link
01-04-2026	Dr. Pabitra Kumar Dey (HOD)	FitFinder: A Next-Gen Resume Analyser for Data Driven Talent Acquisition : Pratik Kundu, Souvik Nandi, Nirmal Sana, Pabitra Kumar Dey, Pradipta Pal, Debasis Guha : Second International Conference on Advanced Computing and Systems (AdComSys 2025)	DOI	View
02-01-2026	Biswesar Ghosh	A Study for Performance Analysis of Supervised Learning Algorithms in Detecting Potato Leaf Disease : Kollol Samanta, Biswesar Ghosh, Animesh Kumar Jha, and Falguni Chakraborty : Machine Intelligence for Research and Innovations	DOI	View
09-10-2025	Debasis Guha	Prediction of Different Water Quality Parameters by Machine Learning Technique : Saindhab Chattaraj, Paragkanti Chattopadhyay, Sumit Banerjee, Debasis Guha, Sourav Bhattacharya, Susanta Karmakar : International Conference on Computing, Intelligence and Application	DOI	View
09-10-2025	Dr. Falguni Chakraborty	A predictive analytics approach of Brain Stoke using machine learning : Pratyush Kundu,Debpriya Debnath, Ansuman Mahanty,Falguni Chakraborty : 2025 International Conference on Computing, Intelligence, and Application (CIACON)	DOI	View
09-10-2025	Ansuman Mahanty	A predictive analytics approach of Brain Stoke using machine learning : Pratyush Kundu; Debpriya Debnath; Ansuman Mahanty; Falguni Chakraborty : International Conference on Computing, Intelligence, and Application (CIACON)	DOI	View
02-10-2025	Dr. Pabitra Kumar Dey (HOD)	Enhancing Stock Price Prediction: A Utility-Based Approach with Selective Parameters : Prerna Jha, Nandini Singh, Subhrangsu Chandra, Anupam Baidya, Pabitra Kumar Dey : International Conference on Data Mining and Information Security, 2024	DOI	View
02-10-2025	ANUPAM BAIDYA	Enhancing Stock Price Prediction: A Utility-Based Approach with Selective Parameters : Prerna Jha, Nandini Singh, Subhrangsu Chandra, Anupam Baidya and Pabitra Kumar Dey : International Conference on Data Mining and Information Security, 2024	DOI	View
02-10-2025	Subhrangsu Chandra	Enhancing Stock Price Prediction: A Utility-Based Approach with Selective Parameters : Prerna Jha, Nandini Singh, Subhrangsu Chandra, Anupam Baidya, Pabitra Kumar Dey : International Conference on Data Mining and Information Security, 2024	DOI	View
23-12-2024	Dr. Pabitra Kumar Dey (HOD)	Predictive Modeling of Maternal Child Health Challenges Through Machine Learning Analysis : Anupam Baidya, Subhrangsu Chandra, Pabitra Kumar Dey , and Dipendra Nath GhosH : Third International Conference on Advanced Computing and Applications (ICACA 2024)	DOI	View
23-12-2024	ANUPAM BAIDYA	Predictive Modeling of Maternal Child Health Challenges Through Machine Learning Analysis : Anupam Baidya, Subhrangsu Chandra, Pabitra Kumar Dey, and Dipendra Nath Ghosh : Proceedings of Third International Conference on Advanced Computing and Applications, ICACA2024	DOI	View
23-12-2024	Subhrangsu Chandra	Predictive Modeling of Maternal Child Health Challenges Through Machine Learning Analysis : Anupam Baidya, Subhrangsu Chandra, Pabitra Kumar Dey, and Dipendra Nath Ghosh : Proceedings of Third International Conference on Advanced Computing and ApplicationsICACA	DOI	View
21-11-2024	Dr. Pabitra Kumar Dey (HOD)	Machine Learning-Driven Feature Selection for Performance Analysis in Student Mental Health : Sukarna Dey Mondal, Namita Tudu, Payel Karmakar, Samiha Baksi, Dipendra Nath Ghosh, Pabitra Kumar Dey : Analytics Global Conference (AGC 2024)	DOI	View
22-08-2024	Debasis Guha	Quasi-oppositional-Based Whale Optimization Applied to Multilevel Image Thresholding : Falguni Chakraborty, Tushnik Sarkar, Provas Kumar Roy & Debasis Guha : Soft Computing: Theories and Applications (SoCTA 2023)	DOI	View
22-08-2024	Dr. Falguni Chakraborty	Quasi-oppositional-Based Whale Optimization Applied to Multilevel Image Thresholding : Falguni Chakraborty. Tushnik Sarkar, Provas Kumar Roy & Debasis Guha : SoCTA 2023	DOI	View
17-04-2024	Debasis Guha	Re-Cognition I: An Inspection of Learner's Cognitive Well-Being, Pursuant to Contemporary Period, Facilitates the Academic Life Cycle : Souvik Ganguly, Kailash Pati Mandal, Debasis Guha : 2024 International Conference on Emerging Smart Computing and Informatics (ESCI 2024)	DOI	View
30-11-2023	Dr. Falguni Chakraborty	ANN for Diabetic Prediction by Using Chaotic Based Sine Cosine Algorithm : Rana Pratap Mukherjee, Rajesh Kumar Chatterjee & Falguni Chakraborty : CICBA 2023	DOI	View
30-09-2023	Dr. Pabitra Kumar Dey (HOD)	Prediction of Future Career Course of Students Through RF Algorithm : SUKARNA DEY MONDAL, DIPENDRA NATH GHOSH, PABITRA KUMAR DEY : Advances in Data Science and Computing Technologies (ADSC 2022)	DOI	View
25-07-2023	Ansuman Mahanty	Color Image Encryption Using Hybrid Three-Scroll Unified Chaotic Attractor and 6D Hyperchaotic System : Pal, S., Pathak, A., Mahanty, A., Mondal, H., Mandal, M.K. : 4th International Conference on Communication and Intelligent Systems ICCIS 2022	DOI	View
06-10-2022	Dr. Pabitra Kumar Dey (HOD)	A Multi-criteria Model of Selection of Students for Project Work Based on the Analysis of Their Performance : SUKARNA DEY MONDAL, DIPENDRA NATH GHOSH, PABITRA KUMAR DEY : International Conference on Nonlinear Dynamics and Applications (ICNDA 2022)	DOI	View
30-06-2020	Dr. Falguni Chakraborty	Novel Chaotic Elephant Herding Optimizationfor Multilevel Thresholding of Color Image : Falguni Chakraborty · Provas Kumar Roy · Debashis Nandi : SoCTA 2019	DOI	View
03-11-2011	Pradipta Pal	Fuzzy expert system for identification of the people living below poverty line : Himadri Mukherjee, Pradipta Pal, Samarjit Kar : Fuzzy expert system for identification of the people living below poverty line	DOI	View
17-03-2011	Dr. Pabitra Kumar Dey (HOD)	Application of Decision Tree for Fuzzy Classifying in Educational Organization : Purnendu Ruj, Pabitra Kumar Dey : International Conference on Emerging Trends in Soft Computing and ICT (SCICT 2011)	DOI	View
28-02-2011	Dr. Pabitra Kumar Dey (HOD)	A Data Mining Approach on Cluster Analysis of IPL : Pabitra Kumar Dey, Gangotri Chakraborty, Purnendu Ruj and Suvobrata Sarkar : International Conference on Machine Learning and Computing (ICMLC-2011)	DOI	View
20-11-2010	Dr. Pabitra Kumar Dey (HOD)	Fuzzy Classification using Decision Tree Algorithms : Pabitra Kumar Dey, Gangotri Chakraborty, Abhoy Chand Mondal : International Conference on Computing and Systems (ICCS- 2010)	DOI	View
18-11-2010	Dr. Pabitra Kumar Dey (HOD)	Cluster Detection Analysis Using Fuzzy Relational Database : Pabitra Kumar Dey, Gangotri Chakraborty and Suvobrata Sarkar : 3rd International Conference on Computer and Electrical Engineering (ICCEE-2010),	DOI	View
12-08-2010	Dr. Pabitra Kumar Dey (HOD)	Quantum Cryptography: Security Through Uncertainty : Pabitra Kumar Dey, Partha Sarathi Goswami, Abhoy Chand Mondal : National Conference on Computing and Systems (NCCS-2010)	DOI	View
01-03-2009	Dr. Pabitra Kumar Dey (HOD)	Network Security by using Quantum Computing for the IT Industries : Pabitra Kumar Dey, Abhoy Chand Mondal : 16th State Science and Technology Congress	DOI	View

Book Chapter

Date	Name	Description	Editor	ISBN	DOI	Link
22-01-2026	Dr. Pabitra Kumar Dey (HOD)	Guardians of the Road: Harnessing Internet ofVehicles and Machine Learning for CombatingVehicle Theft Through Anomaly Detection : Pradipta Pal , Pabitra Kumar Dey, Abhoy Chand Mondal, Satyajit Rath : Internet of Vehicles: Scope and Application of Artificial Intelligence-Based Technologies	Arindam Biswas , Debabrata Samanta, Sheuli Chakraborty, Joydeep Dutta	978-981-95-1979-8	DOI	View
22-01-2026	Pradipta Pal	Guardians of the Road: Harnessing Internet of Vehicles and Machine Learning for Combating Vehicle Theft Through Anomaly Detection : Pradipta Pal, Pabitra Kumar Dey, Abhoy Chand Mondal & Satyajit Rath : Internet of Vehicles Scope and Application of Artificial Intelligence-Based Technologies	Arindam Biswas, Debabrata Samanta, Sheuli Chakraborty, Joydeep Dutta	Print ISBN 978-981-95-1978-1	DOI	View
15-10-2025	Pradipta Pal	: Dr. Abhishek Bandyopadhyay, Arpan Tewary, Pradipta Pal : CODE & COMPUTE - "C FOR MODERN ENGINEERING MINDS"	Dr. Abhishek Bandyopadhyay, Arpan Tewary, Pradipta Pal	9788199297494	DOI	View
22-05-2023	Dr. Pabitra Kumar Dey (HOD)	Investigate the Reason for Students’ Absenteeism in Engineering College in Fuzzy MCDM Environment : Sukarna Dey Mondal, Dipendra Nath Ghosh, Pabitra Kumar Dey : Applications of Operational Research in Business and Industries	Angappa Gunasekaran, Jai Kishore Sharma, Samarjit Kar	978-981-19-8011-4	DOI	View
05-02-2022	Dr. Pabitra Kumar Dey (HOD)	Prediction of NAAC Grades for Affiliated Institute with the help of Statistical Multi Criteria Decision Analysis : Sukarna Dey Mondal, Dipendra Nath Ghosh, Pabitra Kumar Dey : Proceeding of NCRIMA 2021	M. Fatima, Navneet Kaur, Jyoti Jain	978-620-4-73542-9	DOI	View

Patents

Title	Name	Patent Number	Patent Office	Date	Status	Country	Application No.	Abstract
MACHINE LEARNING-POWERED VIBRATION ANALYZER FOR MACHINES	Subhrangsu Chandra	466378-001	Kolkata	07-11-2025	Published, Journal No is 45/2025 07/11/2025	India	212747	The continuous monitoring of machine vibrations is essential for early fault detection and maintenance optimization in industrial systems. This paper presents a Machine Learning-Powered Vibration Analyzer designed to enhance the accuracy and efficiency of machine health diagnostics. Traditional vibration analysis methods rely heavily on manual interpretation of time-domain and frequency-domain signals, which can be time-consuming and prone to human error. The proposed system employs machine learning algorithms to automatically extract relevant features from vibration signals and classify the machine’s operational state. Using supervised learning techniques such as Support Vector Machines and Random Forests, the model identifies patterns associated with imbalance, misalignment, and bearing faults. The system is trained and validated on vibration datasets collected from multiple machines under varying load conditions. Experimental results demonstrate that the ML-based analyzer achieves higher diagnostic accurac
MACHINE LEARNING-POWERED VIBRATION ANALYZER FOR MACHINES	Dr. Pabitra Kumar Dey (HOD)	466378-001	The patent Office, Govt. of India	06-11-2025	Published	India	466378-001	MACHINE LEARNING-POWERED VIBRATION ANALYZER FOR MACHINES
MACHINE LEARNING-POWERED VIBRATION ANALYZER FOR MACHINE	Ansuman Mahanty	466378-001	The patent Office, Govt. of India	06-11-2025	Published	India	466378-001	The invention reveals a machine learning-based vibration analyzer for machines, which includes vibration sensors, a signal conditioning module, and a processing module that runs machine learning algorithms. The vibration analyzer extracts features from the time and frequency domains to identify vibration patterns and anomalies related to machine faults. The vibration analyzer enables real-time analysis and predictive maintenance capabilities for early fault diagnosis, thus improving the reliability, efficiency, and life of the machine.
AI-EMBEDDED CYBER SECURE NETWORK ROUTER WITH REAL-TIME THREAT ANALYSIS	Ansuman Mahanty	6478249	Intellectual Property Office (IPO), UK	17-10-2025	Granted	UK	6478249	The patent “AI-Embedded Cyber Secure Network Router with Real-Time Threat Analysis” describes an intelligent router that uses AI technology for improved cybersecurity. The router combines machine learning technology to detect, analyze, and prevent potential threats. The technology is always online and continuously monitors the network for any potential threats and reacts quickly to the rising cyber threats. The router uses AI technology, which ensures optimal security, scalability, and resilience during data transmission and prevents any unauthorized or malignant activity.
A SYSTEM AND METHOD FOR BLOCKCHAIN-ENABLED CERTIFICATE VERIFICATION AND CREDENTIAL AUTHENTICATION	Pradipta Pal	202531089609 A	PUBLICATION OF THE PATENT OFFICE India	26-09-2025	Published	India	202531089609 A	(57) Abstract : ABSTRACT A SYSTEM AND METHOD FOR BLOCKCHAIN-ENABLED CERTIFICATE VERIFICATION AND CREDENTIAL AUTHENTICATION The invention provides a blockchain-enabled system for digital certificate management and credential authentication. In this system, a certificate issuance module receives certificate data from an issuing institution and processes the data through an uploading component and a digital signing component to generate a digital fingerprint using a secure hash algorithm. This digital fingerprint, together with associated certificate metadata-comprising a unique certificate identifier, the issuing authority, and a timestamp-is securely recorded on a blockchain ledger structured as sequentially linked blocks and verified by consensus protocols. A smart contract integration module is incorporated to automatically execute predetermined lifecycle events, including issuance, revocation, and updates. Additionally, a verification interface module retrieves and compares digital fingerprints upon receiving authentication requests. An interoperability module is further employed to standardize data exchange between disparate entities, and, optionally, a decentralized identity integration module assigns decentralized identifiers and cryptographic key pairs to facilitate the selective disclosure of credentials.
AI-Powered Traffic Management Device	Subhrangsu Chandra	6471256	41 High St, Chesham HP5 1BW, United Kingdom, CHESHAM, HP5 1BW	21-09-2025	Granted/Published	UK	6471256	An intelligent system that uses artificial intelligence to monitor, analyze, and control traffic flow in real time. The device leverages sensors and predictive algorithms to optimize traffic signals, reduce congestion, and improve road safety.
AI-POWERED ADAPTIVE LEARNING HEADSET	Ansuman Mahanty	460835-001	The Patent Office, Government of India	19-09-2025	Published	India	460835-001	The AI-Powered Adaptive Learning Headset integrates advanced artificial intelligence to personalize educational experiences in real-time. Utilizing biometric sensors and machine learning algorithms, the headset monitors cognitive states such as attention, fatigue, and engagement. It dynamically adjusts content delivery, difficulty, and pacing tailored to individual learner needs. This adaptive technology enhances learning efficiency, retention, and motivation across diverse subjects and environments. The headset’s seamless interface supports immersive audio-visual feedback, enabling interactive and intuitive learning. This innovation aims to revolutionize education by providing scalable, personalized learning solutions that optimize user performance and promote lifelong learning.
AI-POWERED ADAPTIVE LEARNING HEADSET	Pradipta Pal	460835-001	PUBLICATION OF THE PATENT OFFICE India	18-09-2025	Published	India	202531089609 A
AI-Powered USB Network Intrusion Detection Stick	ANUPAM BAIDYA	6466574	Intellectual Property Office of UK	08-09-2025	Granted	United Kingdom	6466574
Stand-Table Work Station for Digital Marketers	Dr. Pabitra Kumar Dey (HOD)	6451599	Concept House, Cardiff Road, Newport, South Wales, NP10 8QQ, United Kingdom	16-06-2025	Granted	UK	6451599	The present invention discloses a novel stand-table workstation specifically engineered for digital marketers, offering an ergonomic, efficient, and multifunctional workspace adaptable for both seated and standing positions. The workstation addresses the specialized demands of digital marketing professionals, such as simultaneous content creation, multi-platform campaign management, social media engagement, and real-time data analytics monitoring. Key features of the invention include a height-adjustable main surface for promoting healthy posture variations, an integrated multi-device docking bay with wireless charging capabilities, adjustable multi-screen mounts for optimized visual management, a retractable whiteboard/planner panel for strategic planning, and a dedicated content creation zone equipped for video recording, podcasting, and lives streaming setups. Additionally, the invention incorporates an advanced cable management system, a secondary analytics dashboard stand, and eco-friendly construction materials, enhancing both functionality and sustainability. The modular nature of the workstation allows customization according to project requirements, making it particularly advantageous for freelance digital marketers, agency teams, content creators, and marketing strategists. Variants with programmable motorized height adjustments and AI-based optimization for ergonomic settings are also envisioned. Overall, this invention offers a comprehensive, productivity-enhancing solution that merges ergonomics, technology integration, and operational efficiency tailored to the contemporary needs of digital marketing professionals. The stand-table workstation is thus positioned as a transformative innovation that not only boosts workflow efficiency but also promotes health, comfort, and environmental responsibility.
AI BASED HEALTHCARE DEVICE FOR DIAGNOSING ABDOMINAL DISEASE	ANUPAM BAIDYA	6385812	Intellectual Property Office of UK	27-08-2024	Granted	United Kingdom	6385812	24 MEDICAL AND LABORATORY EQUIPMENT

Student Activity

Technical Poster Competition
Non-Technical Poster Competition
Coding Competition
Arrange Farewell Program
Industry Visit

Highlights

Department