Highlights

Book Distribution Schedule (1st Round) for the 2O26 EVEN Semester Students | Notice dated 24.03.2026 - Rescheduled Holiday | Revised Provisional Academic Calendar for 2nd and 4th Semester 2025-26 | Notice to the Students | Revised Interim Class Routines for B.Tech - 8th Semester  

Department

Information Technology

Year of establishment: 2000
B.Tech. in Information Technology (4 years)
Year of commencement: 2000
Current Intake: 60

NBA Accredited

 

OVERVIEW

Established in 2000, the Department of Information Technology at Dr. B.C. Roy Engineering College (BCREC) is NBA-accredited and committed to imparting high-quality, comprehensive technical education. Aligned with the industry and research demands of the digital era, the department focuses on the rigorous implementation of the university curriculum while prioritizing the mental and physical well-being of its students.

The pedagogy revolves around continuous feedback, outcome-based education, project-based learning, and graduate attribute mentoring. This ensures students develop strong theoretical foundations, hands-on laboratory expertise, problem-solving abilities, and a deep understanding of ethics and values.

Key Focus Areas

  • Artificial Intelligence & Machine Learning
  • Data Science
  • Internet of Things (IoT)
  • Cloud Computing
  • Cyber Security
  • Software Engineering

Career Scope

The IT department consistently achieves a near 100% placement rate within one year of graduation. Graduates are thoroughly trained for recruitment tests and interviews, preparing them for top positions in national and multinational organizations.

Industry Roles:

Software Developer | Data Scientist | AI/ML Engineer | Cybersecurity Analyst | Cloud Architect | DevOps Engineer | Business Intelligence Analyst

Higher Studies:

Students frequently pursue M.Tech, MS, MBA, or Ph.D. programs in India and abroad, specializing in areas such as AI & Robotics, Quantum Computing, Data Engineering, and Computational

Intelligence.

Career Domains:

IT Services | Product Development | Research & Academia | Startups & Entrepreneurship | Government Digital Missions

LABORATORIES AND OTHER MAJOR FACILITIES

  • Programming Languages, OOP & Computational Laboratory
  • Algorithm, Data Structure, DBMS, Operating System Laboratory
  • Networking, Web Technology, E-Com, Multimedia Laboratory
  • Computer Organisation & Architecture Laboratory
  • Project Laboratory for:
    • Innovation & Entrepreneurship exposure
    • IT Emerging Technologies exposure and development
  • Well-equipped classrooms
  • Digital classroom
  • Departmental Library
  • Departmental seminar hall
  • 24 hrs high-speed internet facility

  

PROGRAM EDUCATIONAL OBJECTIVES (PEO)

PEO 1: Graduates are expected to be in regular engagement in service/ higher studies/ entrepreneurship within one yearof graduation

PEO 2: Graduates are expected not to violate values ethics and professional code of conduct.

PEO 3: Graduates are expected to have understanding and motivation about entrepreneurship.

PROGRAM OUTCOMES

  • Engineering Knowledge
  • Problem analysis
  • Design/development of solutions
  • Conduct investigations of complex problems
  • Modern tool usage
  • The Engineer and society
  • Environment and teamwork
  • Communication
  • Project management and finance
  • Life-Long Learning

PROGRAM SPECIFIC OUTCOMES

PSO 1: Graduates will have strong fundamental knowledge in core topics of each subject of the University curriculum of Information Technology.

PSO 2: Graduates will have adequate training for recruitment tests and interviews for information Technology Industry.

PSO 3: Graduates will have an exposure to higher-order problem analysis & solving skills in core subjects of information Technology.

PSO 4: Graduates will be aware of basic steps of entrepreneurship in Information Technology.

Publications

The faculty and students maintain a strong research output, publishing in SCI Journals, Scopusindexed Journals, and IEEE Conferences. Key themes include AI & Optimization, IoT Systems, and Financial Prediction Models. Recent publications have been featured in highly reputed, peer-reviewed journals, including:

  • IEEE Access
  • SN Computer Science
  • Journal of Informetrics
  • Soft Computing
  • Data & Knowledge Engineering
  • IETE Journal of Research
  • Engineering Applications of Artificial Intelliegence

Industry Interactions

BCREC has established strategic Memorandums of Understanding (MoUs) with esteemed organizations such as the National Highway Authority of India (NHAI), SAIL - DSP, CMERI Durgapur and UltraTech. Furthermore, BCREC is recognized as a TCS Priority College, boasting 25 years of excellence in collaborative training.

The department maintains strong industry linkages in domains like Software Development, Automation, Cloud Services, and Data Analytics through:

  • Invited Talks Delivered by Industry Experts
  • Internship Opportunities
  • Industrial Visits
  • Industry-Academia Collaborative Projects

 

Seminars Conducted

The department actively hosts events in its dedicated Departmental Seminar Hall. Recent seminars and conferences have focused on applied technologies such as Disease Detection in Crops using Machine Learning Techniques, Smart Vehicle Number Plate Detection utilizing YOLO, and Surveys on Irrigation Scheduling with Machine Learning.

 

Recent Seminars:

Seminar Title

Theme

Resource Person

Emerging Trends in AI

Artificial Intelligence

Industry Expert

Cybersecurity Awareness

Network Security

Security Specialist

Cloud & DevOps

Cloud Technologies

IT Professional

IoT in Smart Cities

IoT Applications

Research Scientist

Vision

To emerge as a centre of excellence in Information Technology education by fostering innovation, research, ethical values, and globally employable industry-ready professionals for the betterment of society.

Mission

  • Deliver quality technical education.
  • Develop industry-ready professionals.
  • Promote research & innovation.
  • Foster ethical & social responsibility.

HOD Details

Dr. Dinesh Kumar Pradhan

PhD

Contact No: 9433303419

Contact Email: dinesh.pradhan@bcrec.ac.in

 

Message from HOD

  • HoD Profile
  • Dr. Dinesh Kumar Pradhan
  • Associate Professor & Head, Department of Information Technology

Dr. Dinesh K. Pradhan is a distinguished academician and administrator with over 25 years of experience in teaching, research, and institutional leadership. An alumnus of NIT Durgapur (Ph.D. & M.Tech), he currently steers the Department of Information Technology at Dr. B. C. Roy Engineering College, Durgapur.

As a transformative leader, Dr. Pradhan spearheaded the department's successful transition under the college's new Autonomous Framework (2025) and led the team through successful NBA Accreditation cycles. His administration focuses on curriculum innovation, managing a team of faculty and staff to integrate emerging technologies into the student learning experience.

Dr. Pradhan is a recognized researcher in Artificial Intelligence, Scientometrics, and Metaheuristic Optimization. His contributions to the academic community include:

  • Innovations: Developer of the C3-Index, a novel metric for evaluating author performance using citation and collaboration impacts.
  • Patents: He holds a granted design patent for a Smart Menstrual Waste Disposal System and has filed utility patents for Smart Irrigation Systems and Real-Time Stock Market Forecasting.
  • Funded Projects: He has contributed as a research scholar to significant government-funded projects, including DISARM (ITRA), CityProbe (IMPRINT), and KIOSK (DST).
  • Publications: He has authored 10 SCI-indexed journal papers and 10 Scopus-indexed conference papers, accumulating over 500 citations, h-index: 10, i10-index: 12.

Ph.D. Supervision & Mentorship As mentor, Dr. Pradhan has successfully guided three scholars to the award of their Ph.D. degrees and is currently supervising two others.

  • HoD’s Message
  • From the Desk of the Head of Department

"Welcome to the Department of Information Technology at Dr. B. C. Roy Engineering College.

We are currently navigating an exciting era of transformation. As we operate under our new Autonomous Status (2025), our primary goal is to bridge the gap between theoretical computer science and real-world application. We are not just teaching code; we are cultivating innovators.

Our research vision for this department is deeply rooted in integrating Artificial Intelligence, IoT, and Robotic Techniques to solve complex societal problems—from data-driven healthcare to intelligent agricultural systems. We encourage our students and faculty to look beyond the syllabus, engaging in interdisciplinary research that results in tangible outcomes like patents and high-impact publications.

I invite you to join us in this journey of innovation, where we leverage computational intelligence to build a smarter future."

  • Dr. Dinesh Kumar Pradhan
  • Ph.D., MTech (NIT Durgapur)
  • Associate Professor & HoD, Information Technology
  • Short Bio
  • Dr. Dinesh Kumar Pradhan
  • Head of Department, Information Technology

Dr. Pradhan holds a Ph.D. from NIT Durgapur and brings over 25 years of expertise in AI, Scientometrics, and Machine Learning. He has successfully led the IT Department through NBA Accreditation and its transition to Autonomous Status. A prolific researcher with 500+ citations, he has contributed (as a research scholar) to funded projects by DST, ITRA, and IMPRINT, and holds a granted patent for smart sanitation technology. He has successfully supervised 3 Ph.D. scholars and currently guides research in quantum computing, epidemic modelling and computer vision.

List of Faculty

SK MOFIZUL HAQUE Assistant Professor
DR. DINESH KUMAR PRADHAN (HoD) Associate Professor
Dr. Suman Bhattacharjee Associate Professor
PRABAL KUMAR SAHU Assistant Professor
DR. MOUMITA PRADHAN Assistant Professor
MANAS ROY Assistant Professor
MD KERAMOT HOSSAIN MONDAL Assistant Professor
PRIYANKA ROY Assistant Professor
PARAMITA MANNA Assistant Professor
Sandip Chakraborty Assistant Professor
Debkanta Chakraborty Assistant Professor
RAM PRASAD CHAKRABORTY Assistant Professor

Achievements

  • Accreditation: The B.Tech program in Information Technology is NBA-accredited.
  • Placements: Maintains a stellar, near 100% placement record with selection in leading core IT firms, product companies, and startups.
  • Student Excellence: Consistent university rank holders; students regularly receive awards for innovative projects and national hackathons.
  • Alumni Success: A strong alumni network holding prominent positions in private MNCs and government organizations.
  • Faculty Recognition: Regular recognitions in top-tier conferences and journals.

 

Laboratories

The IT department boasts state-of-the-art laboratory facilities with 24-hour high-speed internet, high-performance computing systems, licensed software tools, simulation platforms, and opensource development environments to support hands-on learning:

  • Programming Languages, OOP & Computational Laboratory
  • Algorithm, Data Structure, DBMS & Operating System Laboratory
  • Networking, Web Technology, E-Com & Multimedia Laboratory
  • Computer Organisation & Architecture Laboratory
  • Project Laboratory (Dedicated to Innovation & Entrepreneurship)

Area of Research

  • The department houses the R&D Lab (Project Laboratory) and actively works in emerging, interdisciplinary domains aligned with national missions like Digital India, Smart Cities, and Sustainable Technologies.

    Core & Emerging Research Domains:

  • Artificial Intelligence and Machine Learning (including Explainable AI)
  • Quantum Machine Learning
  • Internet of Things (IoT) & Smart Systems
  • Computer Networks, Ad-hoc Networks, and Cyber-Physical Systems
  • Renewable Energy Informatics & Financial Data Analytics
  • Optimization Algorithms & Edge Computing

Faculty Activity

Publications
Journal
Name
Year
Cite as MLA/APA/Vancouver/IEEE Format
RAM PRASAD CHAKRABORTY 2025 Genetic Algorithm Optimized Vision Transformer Based Transfer Learning Approach for Early Prediction of Chronic Kidney Disease
Dr. Suman Bhattacharjee 2014 Exploring an energy-efficient DTN framework supporting disaster management services in post disaster relief operation
Dr. Suman Bhattacharjee 2018 DPDRM: A decentralized post-disaster resource management scheme using energy efficient smart phone based DTN
Dr. Suman Bhattacharjee 2018 Post-disaster map builder: Crowdsensed digital pedestrian map construction of the disaster affected areas through smartphone based DTN
DR. DINESH KUMAR PRADHAN (HoD) 2024 FNN for Diabetic Prediction Using Oppositional Whale Optimization Algorithm
DR. DINESH KUMAR PRADHAN (HoD) 2024 A multiple k-means cluster ensemble framework for clustering citation trajectories
DR. DINESH KUMAR PRADHAN (HoD) 2013 Optimal short-term hydro-thermal scheduling using quasi-oppositional teaching learning based optimization
DR. DINESH KUMAR PRADHAN (HoD) 2017 C3-index: a PageRank based multi-faceted metric for authors’ performance measurement
DR. DINESH KUMAR PRADHAN (HoD) 2020 An automated conflict of interest based greedy approach for conference paper assignment system
DR. DINESH KUMAR PRADHAN (HoD) 2021 On the identification and analysis of citation pattern irregularities among journals
DR. DINESH KUMAR PRADHAN (HoD) 2022 Chaotic oppositional-based whale optimization to train a feed forward neural network
DR. DINESH KUMAR PRADHAN (HoD) 2023 Machine Learning Based Approach for Future Prediction of Authors in Research Academics
DR. DINESH KUMAR PRADHAN (HoD) 2022 An Efficient FNN Model with Chaotic Oppositional Based SCA to Solve Classification Problem
DR. DINESH KUMAR PRADHAN (HoD) 2023 A Heuristic Approach to Solve Author Name Ambiguity Using Minimum Bibliographic Evidences
DR. MOUMITA PRADHAN 2021 Multi-Objective Hydro-Thermal Scheduling Problem Using Two Novel Optimization Techniques
DR. MOUMITA PRADHAN 2017 Economic Load Dispatch Using Oppositional Backtracking Search Algorithm
DR. MOUMITA PRADHAN 2018 Krill herd algorithm applied to short-term hydrothermal scheduling problem
DR. MOUMITA PRADHAN 2018 Opposition-based krill herd algorithm applied to economic load dispatch problem
DR. MOUMITA PRADHAN 2018 Oppositional based grey wolf optimization algorithm for economic dispatch problem of power system
DR. MOUMITA PRADHAN 2016 Grey wolf optimization applied to economic load dispatch problems
DR. MOUMITA PRADHAN 2023 Survey of fake news detection using machine intelligence approach
Sandip Chakraborty 2022 A Minimalist Algorithm for Learning Outcome Attainment Large-scale Computation equivalent to the Canonical Algorithm for Outcome-Based Education Courses & Programs
Conference
Name
Year
Cite as MLA/APA/Vancouver/IEEE Format National/International
RAM PRASAD CHAKRABORTY 2024 CNN and FACENET-Based Face Detection and Recognition Model for Attendence Monitoring International
MANAS ROY 2023 Advanced Deep Learning and NLP for Enhanced Food Delivery: Future Insights on Demand Prediction, Route Optimization, Personalization, and Customer Support
MANAS ROY 2024 MTCNN and FACENET-Based Face Detection and Recognition Model for Attendance Monitoring International
MANAS ROY 2023 One International IEEE conference paper: “Disease Detection in Paddy Crop using Machine Learning Techniques” Published in: 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). DOI:10.1109/ICSCDS56580.2023.10104908 International
MANAS ROY 2023 Mondal, M.K.H., Chakraborty, M., Roy, M.K., Patra, J., Koner, C., Gupta, S. (2023). Identification and Counting of Blood Cells Using Machine Learning and Image Processing. In: Thampi, S.M., Mukhopadhyay, J., Paprzycki, M., Li, KC. (eds) International Symposium on Intelligent Informatics. ISI 2022. Smart Innovation, Systems and Technologies, vol 333. Springer, Singapore. https://doi.org/10.1007/978-981-19-8094-7_29 International
MD KERAMOT HOSSAIN MONDAL 2024 MTCNN and FACENET-Based Face Detection and Recognition Model for Attendance Monitoring International
MD KERAMOT HOSSAIN MONDAL 2023 Comparing the Use of Short Video Sharing Applications for Optimizing User Engagement International
MD KERAMOT HOSSAIN MONDAL 2023 Disease Detection in Paddy Crop using Machine Learning Techniques International
MD KERAMOT HOSSAIN MONDAL 2023 Advanced Deep Learning and NLP for Enhanced Food Delivery: Future Insights on Demand Prediction, Route Optimization, Personalization, and Customer Support International
MD KERAMOT HOSSAIN MONDAL 2022 Identification and Counting of Blood Cells Using Machine Learning and Image Processing International
Dr. Suman Bhattacharjee 2017 Exploring the Impact of Connectivity on Dissemination of Post Disaster Situational Data over DTN International
Dr. Suman Bhattacharjee 2017 Implementing Multicasting and Broadcasting of Multimedia Data in ONE Simulator International
Dr. Suman Bhattacharjee 2019 EnTER: An Encounter Based Throwbox Deployment Strategy for Enhancing Network Reliability in Post-Disaster Scenarios over DTN International
DR. DINESH KUMAR PRADHAN (HoD) 2017 C3-index: a PageRank based multi-faceted metric for authors’ performance measurement International
DR. DINESH KUMAR PRADHAN (HoD) 2010 Implementation of fuzzy approach to improve time estimation [case study of a thermal power plant is considered International
DR. DINESH KUMAR PRADHAN (HoD) 2011 Lossless secure transmission in Bluetooth scatternet, considering device mobility International
DR. DINESH KUMAR PRADHAN (HoD) 2014 Implementing encryption with Enhanced Mobility Aware Routing Protocol for Bluetooth network International
DR. DINESH KUMAR PRADHAN (HoD) 2016 Efficient combinatorial auction mechanisms in electronic commerce International
DR. DINESH KUMAR PRADHAN (HoD) 2016 C3-index: Revisiting author's performance measure International
DR. DINESH KUMAR PRADHAN (HoD) 2019 Applications of machine learning in analysis of citation network International
DR. DINESH KUMAR PRADHAN (HoD) 2024 CiteDEK: A hybrid EMD-KNN-DTW model for classification of paper citation trajectories International
DR. MOUMITA PRADHAN 2025 DeepResNet18: Model of Tomato Leaf Disease Prediction to Initiate Sustainable World International
DR. MOUMITA PRADHAN 2025 PredParkinson-MLP: Parkinson Disease Prediction using Multi Layer Perceptron Neural Network International
DR. MOUMITA PRADHAN 2024 Survey of Quantum Machine Learning in IoT Application Field International
DR. MOUMITA PRADHAN 2011 Lossless secure transmission in Bluetooth scatternet, considering device mobility International
DR. MOUMITA PRADHAN 2010 Implementation Of Fuzzy Approach To Improve Time Estimation [Case Study Of A Thermal Power Plant Is Considered International
PARAMITA MANNA 2023 Disease Detection in Paddy Crop using Machine Learning Techniques
PARAMITA MANNA 2023 Disease Detection in Paddy Crop using Machine Learning Techniques National
PRIYANKA ROY 2025 Predictive Framework for Sustainable Engineering through Machine Learning and Cross-Sector Collaboration International
PRIYANKA ROY 2023 6.“Predictive Framework for Sustainable Engineering through Machine Learning and Cross-Sector Collaboration” Published in: 2025 EPJ Web of Conferences SCOPUS International
PRIYANKA ROY 2025 5.“Breast Cancer Classification Using Machine Learning: A Comprehensive Review and Analysis” Published in: 2024 International Conference on Smart Systems and Communication [SSWC 2024] Springer Nature Singapore International
PRIYANKA ROY 2024 4."Exploring the Relationship Between Rent and Flat Prices Through Random Forest and Grid Search” Published in: 2024 International Conference on Circuit, Systems and Communication (ICCSC) International
PRIYANKA ROY 2015 1.Biswajit Mondal, Priyanka Roy , Chandan Koner,“PROPOSED ARTIFICIAL INTELLIGENCE BASED AUTHENTICATION OF USER IN REMOTE SYSTEM”, CRCMAS 2015,November 20-21,2015, International Conference, International Science Congress Association (ISCA), ISBN: 978-93-84659-04-2 International
PRIYANKA ROY 2023 2. “Disease Detection in Paddy Crop using Machine Learning Techniques” Published in: 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). International
PRIYANKA ROY 2023 3.“Comparing the Use of Short Video Sharing Applications for Optimizing User Engagement” Published in: 2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET). International
PRABAL KUMAR SAHU 2023 Survey on Irrigation Scheduling with Machine Learning International
PRABAL KUMAR SAHU 2022 An Effort Towards Improving Automatic-Transcription Systems International
Sandip Chakraborty 2023 Unveiling the Power of Data Structures: Exploring Applications in Diverse Computing Domains International
Sandip Chakraborty 2023 Advanced Deep Learning and NLP for Enhanced Food Delivery: Future Insights on Demand Prediction, Route Optimization, Personalization, and Customer Support International
Sandip Chakraborty 2023 Comparing the Use of Short Video Sharing Applications for Optimizing User Engagement International
Sandip Chakraborty 2022 Test Pattern generation for detection of Hardware Trojans based on improved Genetic Algorithm International
Sandip Chakraborty 2015 Neural Synchronization based Secret Key Exchange over Public Channels: A survey International
Book/Book Chaoter/Monogram/Edited Volume
Name
Year
Cite as MLA/APA/Vancouver/IEEE Format
MD KERAMOT HOSSAIN MONDAL 2025 ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS Books By Dr. C. K. GOMATHY, Dr. V. GEETHA, Mrs. ELAVARASI KESAVAN, MD KERAMOT HOSSAIN MONDAL
Dr. Suman Bhattacharjee 2021 Post-disaster Navigation and Allied Services over Opportunistic Networks
DR. DINESH KUMAR PRADHAN (HoD) 2022 Research Misconduct and Citation Gaming: A Critical Review on Characterization and Recent Trends of Research Manipulation
DR. DINESH KUMAR PRADHAN (HoD) 2022 Classification and Identification of Objects in Images Using CNN
DR. DINESH KUMAR PRADHAN (HoD) 2023 Citation Biases: Detecting Communities from Patterns of Temporal Variation in Journal Citation Networks
DR. MOUMITA PRADHAN 2016 Evolutionary Algorithms for Economic Load Dispatch Having Multiple Types of Cost Functions
DR. MOUMITA PRADHAN 2020 Multi-Objective Short-Term Hydro-Thermal Scheduling Using Meta-Heuristic Approaches
Thesis Supervised
Ph.D
Name Year Topic Status
DR. DINESH KUMAR PRADHAN (HoD) 2021 Hybrid Optimization Techniques to Improve Feature Selection in Computer Vision (Proposed) Enrolled
DR. DINESH KUMAR PRADHAN (HoD) 2022 Multivariate Time Series Framework To Deal With Covid Like Epidemic (Proposed) Enrolled
DR. DINESH KUMAR PRADHAN (HoD) 2025 Time Evolving Citation Networks: Modeling, Analysis, Mining, and Applications Completed
DR. DINESH KUMAR PRADHAN (HoD) 2024 Advanced Metaheuristic Optimization for Enhanced Medical Diagnosis and Image Analysis in Healthcare Applications Completed
DR. DINESH KUMAR PRADHAN (HoD) 2024 Analysing Bibliometric Datasets to Study the Impact of the Co-authorship Relation in Scientific Publications Completed
Post Graduate
Name Year Topic
PRIYANKA ROY 2006 M.E in Information Technology (Network Security)
Under Graduate
Name Year Topic
MANAS ROY 2023 MTCNN AND FACENET BASED ATTENDANCE MONITORING SYSTEM
DR. MOUMITA PRADHAN 2021
DR. MOUMITA PRADHAN 2022
DR. MOUMITA PRADHAN 2022
DR. MOUMITA PRADHAN 2022
DR. MOUMITA PRADHAN 2022 Fake news detection using Machine intelligence approach
DR. MOUMITA PRADHAN 2023 Spam classification using ML approach
DR. MOUMITA PRADHAN 2023 Sentiment analysis using Machine intelligence approach
DR. MOUMITA PRADHAN 2024 Automatic number plate detection
DR. MOUMITA PRADHAN 2024 Age prediction model creation
DR. MOUMITA PRADHAN 2024 Route plane tracker
DR. MOUMITA PRADHAN 2025 Psychological problem detection
DR. MOUMITA PRADHAN 2025 Scalable digital wallet (on going)
PRIYANKA ROY 2025 Udemy Online Certification on The Complete Python Bootcamp From Zero to Hero in Python
PRIYANKA ROY 2025 NPTEL Online Certification on Privacy and Security in Online Social Media ( 12 Week Course).
PRIYANKA ROY 2003 Electronics & Instrumentation Engineering
Patent
Name Year Description
RAM PRASAD CHAKRABORTY 2024 Device for Measuring Nerve Damage to Diabetic Neuropathy
RAM PRASAD CHAKRABORTY 2023 IOT-BASED APPLE SWEETNESS MEASUREMENT AND FRUIT DISEASE PREDICTION USING IMAGE PROCESSING TECHNIQUES AND DEEP LEARNING BASED ON HUMAN-COMPUTER INTERACTION FOR INDUSTRY 4.0.
MANAS ROY 2024 SOLAR POWERED WIRELESS SENSOR NODE FOR DATA COMMUNICATION,PATENT NO:411655-001,THE PATENT OFFICES, GOVT. OF INDIA, DATE OF PUBLICATION: March 27, 2024
MANAS ROY 2024 AI BASED DEVICE FOR IDENTIFICATION OF CARDIOVASCULAR DIEASES, PATENT NO:-4081-86-001,THE PATENT OFFICES, GOVT. OF INDIA, DATE OF PUBLICATION: Feb. 20, 2024
MANAS ROY 2022 AI AND THE INTERNET OF THINGS (IOT) ARE USEDTOGETHER TO MAKE A SAFE ROUTING ALGORITHM FORMOBILE AD-HOC NETWORKS THAT SAVES ENERGY APPLICATION NUMBER:202241064060(IPIINDIA.NIC.IN),Date of Publication 25/11/2022 Office of the Controller General of Patents, Designs & Trade Marks, Ministry of Commerce & Industry, GOVT. OF INDIA,(http://ipindia.nic.in/index.htm),Md Keramot Hossain IT Patent no. 202241064060 25/11/2022
MD KERAMOT HOSSAIN MONDAL 2025 Title: MACHINE LEARNING BASED SECURITY DEVICE FOR CLOUD COMPUTING Applicant Name: 1.Mr.Mohanarangan Veerappermal Devarajan 2. Mr. Balaji Shesharao Ingole 3.Dr. B. Kishore 4.Prof. P. Vanitha Muthu 5.Mr. Md Keramot Hossain Mondal 6.Mr. Vinayak Vijay Palmur 7.Dr. C. B. Sivaparthipan Design No. : 440605-001
MD KERAMOT HOSSAIN MONDAL 2024 Title: AI BASED DEVICE FOR IDENTIFICATION OF CARDIOVASCULAR DISEASES Applicant Name:1. Dr. Balavivekanandhan A2. Dr. Salman Arafath Mohammed3. Dr. Aayushi Arya4. Mr. MD Keramot Hossain Mondal5. Mr. Manas Kumar Roy6. Dr. Revathi. R7. Dr. Harikumar Pallathadka Application Status: Design Accepted and Published, Journal No is 14/2024 and Journal Date is 05/04/2024 Design No. : 408186-001
MD KERAMOT HOSSAIN MONDAL 2024 Title: SOLAR POWERED WIRELESS SENSOR NODE FOR DATA COMMUNICATION Authors: 1.Dr. Prashant Geete 2. Dr. Chitra K 3.Dr. Hemant Dhabhai 4.Mr. Nagarjuna Pitty 5.Mr. Manas Kumar Roy 6.Mr. Md Keramot Hossain Mondal 7.Dr. Harikumar Pallathadka Application Status:Application Accepted,Certificate of Design Generated. Design No. : 411655-001
MD KERAMOT HOSSAIN MONDAL 2023 Title: WI-FI BASED 3D PRINTER Applicant Name:1. Dr. Dhiren Ramanbhai Patel2. Dr.Sumathy Muniamuthu3. Dr. S. Aravind4. Dr. Gurkirpal Singh5. Dr. Keerthipati Kumar6. Dr.Belsam Jeba Ananth. M7. MD Keramot Hossain Mondal 8. Dr. Harikumar Pallathadka Application Status:Application Accepted,Certificate of Design Generated. Design No. : 395122-001
MD KERAMOT HOSSAIN MONDAL 2022 AI AND THE INTERNET OF THINGS (IOT) ARE USEDTOGETHER TO MAKE A SAFE ROUTING ALGORITHM FORMOBILE AD-HOC NETWORKS THAT SAVES ENERGY . Application Status: Published
MD KERAMOT HOSSAIN MONDAL 2022 The Random Forest tree classifier algorithm is used in machine learning and natural language processing (NLP) to detect fake profiles in social networks . Application Status: Published
DR. DINESH KUMAR PRADHAN (HoD) 2024 Smart Menstrual Waste Disposal System Serial No.: 157004, Design No.: 401388-001, Date: 15/02/2024, Registered Names: Dinesh Kumar Pradhan, Provas Kumar Roy, Moumita Pradhan, Country: India.
DR. MOUMITA PRADHAN 2024 Certified that the design of which a copy is annexed hereto has been registered as of the number and date given above in class 15-99 in respect of the application of such design to "SMART MENSTRUAL WASTE DISPOSAL SYSTEM"
PRIYANKA ROY 2023 “DEEP REINFORCEMENT LEARNING FOR ENERGY-EFFICIENT COMPUTATION OFFLOADING WITH DVFS FOR TIME-CRITICAL IOT APPLICATIONS IN EDGE COMPUTING” . Application No: 202341046984 , Filed on: 12.07.2023, Publication Date: 1st September'23.

Student Activity

Students regularly participate in hands-on activities within the AICTE-IDEA Lab, CDAC Lab (3D Printing) and the IT Project Laboratory, working on entrepreneurial prototypes and emerging tech. Industrial visits to partners like SAIL-DSP are organized to bridge the gap between theoretical knowledge and practical application.

Active Participation Includes:

  • Lab-based Mini Projects
  • Hackathons & Coding Competitions
  • Industrial Visits & Research Internships
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