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:

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.

PROGRAM OUTCOMES

Till 2024-25 AY

Program Outcomes (POs)	Statement
PO1	Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization for the solution of complex engineering problems.
PO2	Problem Analysis: Identify, formulate, research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
PO3	Design/ Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for public health and safety, and cultural, societal, and environmental considerations.
PO4	Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
PO5	Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
PO6	The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
PO7	Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
PO8	Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
PO9	Individual and Teamwork: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
PO10	Communication: Communicate effectively on complex engineering activities with the engineering community and with the society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
PO11	Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
PO12	Life-Long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

2025-26 AY Onwards

Programme Outcomes (POs)	Statement	Knowledge and Attitude Profile
PO1	Engineering Knowledge: Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.	WK1, WK2, WK3. WK4
PO2	Problem Analysis: Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development.	WK1, WK2, WK3, WK4
PO3	Design/Development of Solutions: Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required	WK5
PO4	Conduct Investigations of Complex Problems: Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions.	WK8
PO5	Engineering Tool Usage: Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems.	WK2, WK6
PO6	The Engineer and The World: Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment.	WK1, WK5, WK7
PO7	Ethics: Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international lawS.	WK9
PO8	Individual and Collaborative Team work: Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
PO9	Communication: Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
PO10	Project Management and Finance: Apply knowledge and understanding of engineering management principles and economic decision-making and apply these to one’s own work, as a member and leader in a team, and to manage projects and in multidisciplinary environments.
PO11	Life-Long Learning: Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change.	WK8

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

List of Technical Staff

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

Date	Name	Description	DOI	Link
08-11-2025	RAM PRASAD CHAKRABORTY	GENETIC ALGORITHM OPTIMIZED VISION TRANSFORMER BASED TRANSFER LEARNING APPROACH FOR EARLY PREDICTION OF CHRONIC KIDNEY DISEASE : Arindam Roy; Avishek Gupta; Ram Prasad Chakraborty : International Journal of Innovative Science and Research Technology(IJISRT)	DOI	View
09-10-2025	MD KERAMOT HOSSAIN MONDAL	AN IMPROVED SMART VEHICLE NUMBER PLATE DETECTION AND RECOGNITION USING YOLO V12 : Prof. Manas Kumar Roy, Kouliki Mahato, Rajnandani Pratap Sharma Susanta Karmakar 6 Md. Keramot Hossain Monda : International Journal of Engineering Science and Advanced Technology (IJESAT)	DOI	View
25-09-2025	MANAS ROY	AN IMPROVED SMART VEHICLE NUMBER PLATE DETECTION AND RECOGNITION USING YOLO V12 : Prof. Manas Kumar Roy,Kouliki Mahato,Rajnandani,Pratap Sharma,Susanta Karmakar,Md. Keramot Hossain Mondal, : International Journal of Engineering Sciences and Advanced Technology	DOI	View
25-09-2025	MANAS ROY	PDF Citation Detection Using Natural Language Processing : Prof. Md. Keramot Hossain Mondal,Asif Reja Mondal,Debjit Bakshi,Tama Hossain,Debajyoti Saha,Manas Kumar Roy : International Journal of Engineering Sciences and Advanced Technology	DOI	View
09-09-2025	MD KERAMOT HOSSAIN MONDAL	PDF Citation Detection Using Natural Language Processing : Md. Keramot Hossain Mondal ,Asif Reja Mondal,Debjit Bakshi,Tama Hossain, Debajyoti Saha,Manas Kumar Roy : International Journal of Engineering Science and Advanced Technology (IJESAT)	DOI	View
15-05-2025	PRABAL KUMAR SAHU	Hybrid Deep Learning Models in Image Classification: Integrating CNNs with Attention, Capsule Networks, and Graph Neural Networks : Prabal Kumar Sahu : Journal of Information Systems Engineering and Management	DOI	View
03-08-2024	DR. DINESH KUMAR PRADHAN (HoD)	A multiple k-means cluster ensemble framework for clustering citation trajectories : Joyita Chakraborty, Dinesh K. Pradhan, Subrata Nandi : Journal of Informetrics	DOI	View
03-08-2024	DR. DINESH KUMAR PRADHAN (HoD)	FNN for Diabetic Prediction Using Oppositional Whale Optimization Algorithm : Rajesh Chatterjee, Mohammad Amir Khusru Akhtar, Dinesh Kumar Pradhan, et al. : IEEE Access	DOI	View
03-08-2023	DR. DINESH KUMAR PRADHAN (HoD)	Machine Learning Based Approach for Future Prediction of Authors in Research Academics : Sovan Bhattacharya, Animesh Banerjee, Abhik Goswami, Subrata Nandi, Dinesh Kumar Pradhan : SN Computer Science	DOI	View
03-08-2023	DR. DINESH KUMAR PRADHAN (HoD)	A Heuristic Approach to Solve Author Name Ambiguity Using Minimum Bibliographic Evidences : Sovan Bhattacharya, Partha Choudhury, Subrata Nandi, Dinesh Kumar Pradhan : SN Computer Science	DOI	View
03-03-2023	DR. MOUMITA PRADHAN	Survey of fake news detection using machine intelligence approach : Aishika Pal, Pranav, Moumita Pradhan : Data & Knowledge Engineering	DOI	View
03-08-2022	DR. DINESH KUMAR PRADHAN (HoD)	Chaotic oppositional-based whale optimization to train a feed forward neural network : Rajesh Chatterjee, Rana Pratap Mukherjee, Provas Kumar Roy, Dinesh Kumar Pradhan : Soft Computing	DOI	View
03-08-2021	DR. DINESH KUMAR PRADHAN (HoD)	An Efficient FNN Model with Chaotic Oppositional Based SCA to Solve Classification Problem : Rana Pratap Mukherjee, Provas Kumar Roy, Dinesh Kumar Pradhan : IETE Journal of Research	DOI	View
01-06-2021	DR. MOUMITA PRADHAN	Multi-Objective Hydro-Thermal Scheduling Problem Using Two Novel Optimization Techniques : Provas Kumar Roy, Moumita Pradhan, Tandra Pal : International Journal of Swarm Intelligence Research (IJSIR)	DOI	View
03-08-2020	DR. DINESH KUMAR PRADHAN (HoD)	An automated conflict of interest-based greedy approach for conference paper assignment system : Dinesh K. Pradhan, Joyita Chakraborty, Prasenjit Choudhary, Subrata Nandi : Journal of Informetrics	DOI	View
03-08-2020	DR. DINESH KUMAR PRADHAN (HoD)	On the identification and analysis of citation pattern irregularities among journals : Joyita Chakraborty, Dinesh K. Pradhan, Subrata Nandi : Expert Systems	DOI	View
15-01-2019	Dr. Suman Bhattacharjee	Post-disaster map builder: Crowdsensed digital pedestrian map construction of the disaster affected areas through smartphone based DTN : Suman Bhattacharjee, Siuli Roy, Sipra Das Bit : Computer Communications	DOI	View
03-12-2018	DR. MOUMITA PRADHAN	Opposition-based krill herd algorithm applied to economic load dispatch problem : Sk Md Ali Bulbul, Moumita Pradhan, Provas Kumar Roy, Tandra Pal : Ain Shams Engineering Journal	DOI	View
02-12-2018	DR. MOUMITA PRADHAN	Oppositional based grey wolf optimization algorithm for economic dispatch problem of power system : Moumita Pradhan , Provas Kumar Roy , Tandra Pal : Ain Shams Engineering Journal	DOI	View
01-06-2018	Dr. Suman Bhattacharjee	DPDRM: A decentralized post-disaster resource management scheme using energy efficient smart phone based DTN : Suman Bhattacharjee, Siuli Roy, Sipra Das Bit : Journal of Network and Computer Applications	DOI	View
04-03-2018	DR. MOUMITA PRADHAN	Krill herd algorithm applied to short-term hydrothermal scheduling problem : Provas Kumar Roy , Moumita Pradhan , Tandra Pal : Ain Shams Engineering Journal	DOI	View
07-10-2017	DR. MOUMITA PRADHAN	Economic Load Dispatch Using Oppositional Backtracking Search Algorithm : Moumita Pradhan , Provas Kumar Roy , Tandra Pal : International Journal of Energy Optimization and Engineering (IJEOE) 6(2)	DOI	View
03-08-2017	DR. DINESH KUMAR PRADHAN (HoD)	C3-index: a PageRank-based multi-faceted metric for authors’ performance measurement : Dinesh K. Pradhan, P. S. Paul, U. Maheswari, S. Nandi, T. Chakraborty : Scientometrics	DOI	View
01-12-2016	DR. MOUMITA PRADHAN	Grey wolf optimization applied to economic load dispatch problems : Moumita Pradhan , Provas Kumar Roy , Tandra Pal : International Journal of Electrical Power & Energy Systems	DOI	View
22-10-2014	Dr. Suman Bhattacharjee	Exploring an energy-efficient DTN framework supporting disaster management services in post disaster relief operation : Suman Bhattacharjee, Siuli Roy, Somprakash Bandyopadhyay : Wireless Networks	DOI	View
03-08-2013	DR. DINESH KUMAR PRADHAN (HoD)	Optimal short-term hydro-thermal scheduling using quasi-oppositional teaching-learning-based optimization : Provas Kumar Roy, Aditi Sur, Dinesh Kumar Pradhan : Engineering Applications of AI	DOI	View

Conference

Date	Name	Description	DOI	Link
17-04-2026	DR. MOUMITA PRADHAN	LeafGuard: Deep Learning-Based Plant Leaf Disease Prediction Model for Sustainable World : Koustav Chatterjee, Suprabhat Ghosh & Moumita Pradhan : PReMI2025	DOI	View
24-03-2026	DR. MOUMITA PRADHAN	DeepSpeechNet: End to End Speech Recognition : Ankita Hazra; MD Sharique Hussian; Moumita Pradhan : 2026 International Conference on AI-Driven Smart Systems and Ubiquitous Computing (ICAUC)	DOI	View
23-03-2026	PRIYANKA ROY	Evaluating Human AI Collaboration Through Survey Based Random Forest Approach : Subir Gupta; Priyanka Roy; Sudipta Hazra; Bibhuti Bhusan Dash; Utpal Chandra De; Sudhansu Shekhar Patra : 2025 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)	DOI	View
30-12-2025	MANAS ROY	CropWise: Crop Recommendation App Using Machine Learning : Manas Kumar Roy, Eshanee Ghosh, Kalpana Roy, Debajyoti Saha, and Md Keramot Hossain Mondal : 2 International Conference on Artificial Intelligence and Sustainable Computing (AISC 2025)	DOI	View
09-10-2025	MANAS ROY	A Robust and Reliable Data-Driven Approach for Optimizing the Location of Electric Vehicle Charging Infrastructure : Manas Kumar Roy ; Pritam ; Abhay Kumar Yadav ; Gaurav Kumar ; Md Keramot Mondal : 2025 International Conference on Computing, Intelligence, and Application (CIACON)	DOI	View
09-10-2025	MD KERAMOT HOSSAIN MONDAL	A Robust and Reliable Data-Driven Approach for Optimizing the Location of Electric Vehicle Charging Infrastructure : Manas Kumar Roy; Pritam; Abhay Kumar Yadav; Gaurav Kumar; Md Keramot Mondal : 2025 International Conference on Computing, Intelligence, and Application (CIACON)	DOI	View
09-10-2025	DR. MOUMITA PRADHAN	DeepResNet18: Model of Tomato Leaf Disease Prediction to Initiate Sustainable World : Sandip Chandra Das (Maulana Abul Kalam Azad University of Technology, India); Moumita Pradhan (Dr B C Roy Engineering College, India) : CIACON 2025	DOI	View
18-07-2025	PRABAL KUMAR SAHU	Assessment and Monitoring of Students Employability in IT Industry Using Machine Learning: A Comparative Study with Data Science Approach : Sribas Maji ; Prabal Kumar Sahu ; Rajkumar Samanta ; Biswajit Sar ; Subrata Mondal : 2025 International Conference on Computing, Intelligence, and Application (CIACON)	DOI	View
18-06-2025	PRIYANKA ROY	Predictive Framework for Sustainable Engineering through Machine Learning and Cross-Sector Collaboration : Abhik Choudhary1, Upasana Adhikari1, Dipankar Roy1, Subir Gupta1*, Priyanka Roy2 and Aparna Bhaduri2 : First International Conference on Engineering and Technology for a Sustainable Future (ICETSF-2025)	DOI	View
25-04-2025	DR. MOUMITA PRADHAN	PredParkinson-MLP: Parkinson Disease Prediction using Multi Layer Perceptron Neural Network : Dr. Moumita Pradhan : 2025 International Conference on Machine Learning and Autonomous Systems (ICMLAS)	DOI	View
18-04-2025	PRIYANKA ROY	Breast Cancer Classification Using Machine Learning: A Comprehensive Review and Analysis : Priyanka Roy, Joyjit Patra, Srijita Bhattacharyya, Soumi Badyakar and Prasenjit Maji : Smart Systems and Wireless Communication	DOI	View
28-06-2024	PRIYANKA ROY	Exploring the Relationship Between Rent and Flat Prices Through Random Forest and Grid Search : Joyita Ghosh; Kalyan Maji; Toufik Mzili; Priyanka Roy; Monalisa Chakraborty; Subir Gupta : 2024 International Conference on Circuit, Systems and Communication (ICCSC)	DOI	View
24-04-2024	Sandip Chakraborty	Exploring the PSO-Driven Test Pattern Generation Approach for Hardware Trojan Detection : S Chakraborty, MS Varenya, A Mondal, B Sen : 2024 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)	DOI	View
18-02-2024	RAM PRASAD CHAKRABORTY	CNN and FACENET-Based Face Detection and Recognition Model for Attendence Monitoring : Ram Prasad Chakraborty and Md Keramot Hossian Mondal Manas Kumar Roy, : 2nd International Conference on Human-Centric Smart Computing (ICHCSC 2023)	DOI	View
18-02-2024	MANAS ROY	MTCNN and FACENET-Based Face Detection and Recognition Model for Attendance Monitoring : Roy, M.K., Dwibedi, P., Singh, A., Chakraborty, R.P., Mondal, M.K.H. : Human-Centric Smart Computing. ICHCSC 2023. Smart Innovation, Systems and Technolog	DOI	View
18-02-2024	MD KERAMOT HOSSAIN MONDAL	MTCNN and FACENET-Based Face Detection and Recognition Model for Attendance Monitoring : Manas Kumar Roy, Prerona Dwibedi, Anni Singh, Ram Prasad Chakraborty & Md Keramot Hossain Mondal : Smart Innovation, Systems and Technologies ((SIST,volume 376))	DOI	View
04-01-2024	DR. DINESH KUMAR PRADHAN (HoD)	CiteDEK: A hybrid EMD-KNN-DTW model for classification of paper citation trajectories : Joyita Chakraborty, Biswajit Maity, Dinesh K. Pradhan, Subrata Nandi : CODS-COMAD '24: Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)	DOI	View
10-10-2023	Sandip Chakraborty	Unveiling the Power of Data Structures: Exploring Applications in Diverse Computing Domains : B Adhikary, L Ghosh, S Samanta, F Haider, S Chakraborty : 2023 3rd Asian Conference on Innovation in Technology (ASIANCON)	DOI	View
04-09-2023	MD KERAMOT HOSSAIN MONDAL	Advanced Deep Learning and NLP for Enhanced Food Delivery: Future Insights on Demand Prediction, Route Optimization, Personalization, and Customer Support : Md Keramot Hossain Mondal, Amitabha Mondal, Sandip Chakraborty, Kumar Shubhranshu, Avinash Kumar Jha, Manas Kumar Roy : 2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM)	DOI	View
04-09-2023	Sandip Chakraborty	Advanced Deep Learning and NLP for Enhanced Food Delivery: Future Insights on Demand Prediction, Route Optimization, Personalization, and Customer Support : MKH Mondal, A Mondal, S Chakraborty, K Shubhranshu, AK Jha, MK Roy : 2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM)	DOI	View
16-06-2023	MD KERAMOT HOSSAIN MONDAL	Comparing the Use of Short Video Sharing Applications for Optimizing User Engagement : Md. Keramot Hossain Mondal; Sandip Chakraborty; Nilisha Jaiswal; Nikita Nishchal; Priyanka Roy : 2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)	DOI	View
16-06-2023	Sandip Chakraborty	Comparing the Use of Short Video Sharing Applications for Optimizing User Engagement : MKH Mondal, S Chakraborty, N Jaiswal, N Nishchal, P Roy : 2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)	DOI	View
15-06-2023	PRABAL KUMAR SAHU	Survey on Irrigation Scheduling with Machine Learning : Ankan Dutta, Surbhi Pal, Aishwarya Banerjee, Pratap Karmakar, Arpita Mukherjee, Debaprasad Mukherjee & Prabal Kumar Sahu : Smart Trends in Computing and Communications (SmartCom 2023)	DOI	View
17-05-2023	MANAS ROY	Md. Keramot Hossain Mondal ; Amitabha Mondal ; Sandip Chakraborty ; Kumar Shubhranshu ; Avinash Kumar Jha ; Manas Kumar Roy : Md. Keramot Hossain Mondal ; Amitabha Mondal ; Sandip Chakraborty ; Kumar Shubhranshu ; Avinash Kumar Jha ; Manas Kumar Roy : 2023 IEEE Renewable Energy and Sustainable E-Mobility Conference (RESEM),IEEE	DOI	View
25-04-2023	MD KERAMOT HOSSAIN MONDAL	Disease Detection in Paddy Crop using Machine Learning Techniques : Manas Kumar Roy; Paramita Manna; Rehan Roy; Priyanka Roy; Sourav Rakshit; Md Keramot Hossain Mondal : 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)	DOI	View
05-04-2023	MD KERAMOT HOSSAIN MONDAL	Identification and Counting of Blood Cells Using Machine Learning and Image Processing : Md. Keramot Hossain Mondal, Monalisa Chakraborty, Manas Kumar Roy, Joyjit Patra, Chandan Koner & Subir Gupta : International Symposium on Intelligent Informatics. ISI 2022. Smart Innovation, Systems and Technologies	DOI	View
01-04-2023	MANAS ROY	IDENTIFICATION AND COUNTING OF BLOOD CELLS USING MACHINE LEARNUING AND IMAGE PROCESSING : Md Keramot Hossain Mondal, Monalisa Chakraborty, Manas Kumar Roy, Joyjit Patra, Chandan Koner, Subir Gupta : International Symposium on Intelligent Informatics, SPPRINGER	DOI	View
23-03-2023	MANAS ROY	Disease detection in paddy crop using machine learning techniques, 2023 : Roy, M.K., Manna, P., Roy, R., Roy, P., Rakshit, S., Mondal, M.K.H : International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), Erode, India, IEEE	DOI	View
23-03-2023	PRIYANKA ROY	Disease Detection in Paddy Crop using Machine Learning Techniques : Manas Kumar Roy, Paramita Manna, Rehan Roy, Priyanka Roy, Sourav Rakshit, Md Keramot Hossain Mondal : 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)	DOI	View
14-02-2023	Sandip Chakraborty	Test Pattern generation for detection of Hardware Trojans based on improved Genetic Algorithm : S Chakraborty, A Ghosh, A Mondal, B Sen : 2022 IEEE Bombay Section Signature Conference (IBSSC)	DOI	View
10-02-2023	PRIYANKA ROY	Comparing the Use of Short Video Sharing Applications for Optimizing User Engagement : Md Keramot Hossain Mondal, Sandip Chakraborty, Nilisha Jaiswal, Nikita Nishchal, Priyanka Roy : 2023 IEEE 3rd International Conference on Technology, Engineering, Management for Societal impact using Marketing, Entrepreneurship and Talent (TEMSMET)	DOI	View
11-11-2022	PRABAL KUMAR SAHU	An Effort Towards Improving Automatic-Transcription Systems : Anik Biswas, Louise Shania Sabela, Prabal Kumar Sahu, Raj Kumar Samanta : 2022 International Interdisciplinary Conference on Mathematics, Engineering and Science (MESIICON	DOI	View
01-01-2022	DR. DINESH KUMAR PRADHAN (HoD)	Classification and Identification of objects in images using CNN : Rajesh Kumar Chatterjee, Md. Amir Khusru Akhtar, Dinesh K. Pradhan : International Conference on Artificial Intelligence and Data Science (ICAIDS-2022)	DOI	View
01-01-2022	DR. DINESH KUMAR PRADHAN (HoD)	Citation Biases: Detecting Communities from Patterns of Temporal Variation in Journal Citation Networks : Joyita Chakraborty, Dinesh K. Pradhan : 6th International Conference of Data Management, Analytics and Innovation (ICDMAI 2022)	DOI	View
01-01-2021	DR. DINESH KUMAR PRADHAN (HoD)	Research misconduct and citation gaming: A critical review on characterization and recent trends of research manipulation : Joyita Chakraborty, Dinesh K. Pradhan, Subrata Nandi : 5th International Conference of Data Management, Analytics and Innovation (ICDMAI 2021)	DOI	View
04-01-2019	Dr. Suman Bhattacharjee	EnTER: An Encounter Based Throwbox Deployment Strategy for Enhancing Network Reliability in Post-Disaster Scenarios over DTN : Suman Bhattacharjee, Sipra Das Bit : ICDCN 2019	DOI	View
03-01-2019	DR. DINESH KUMAR PRADHAN (HoD)	Applications of Machine Learning in Analysis of Citation Network : Dinesh K. Pradhan, Joyita Chakraborty, Subrata Nandi : 6th ACM IKDD CoDS and 24th COMAD (CoDS-COMAD '19)	DOI	View
11-09-2017	Dr. Suman Bhattacharjee	Implementing Multicasting and Broadcasting of Multimedia Data in ONE Simulator : Suman Bhattacharjee, Ranit Chatterjee, Tamal Pal, Sipra Das Bit : 10th EAI International Conference on Simulation Tools and Techniques (SIMUTOOLS 2017)	DOI	View
02-05-2016	DR. DINESH KUMAR PRADHAN (HoD)	C3-index: revisiting author's performance measure : Pradhan, D., Paul, P. S., Maheswari, U., Nandi, S., Chakraborty, T. : Proceedings of the 8th ACM Conference on Web Science	DOI	View
21-02-2015	PRIYANKA ROY	Proposed Artificial Intelligence Based Authentication of User in Remote System : Priyanka Roy, Chandan Koner, Biswajit Mondal : International Science Congress Association (ISCA), Recent trends in Computations and Mathematical Analysis in Engineering and Sciences( CRCMAS 2015 )	DOI	View
25-09-2014	Sandip Chakraborty	Neural Synchronization based Secret Key Exchange over Public Channels: A survey : S Chakraborty, J Dalal, B Sarkar, D Mukherjee : 2014 International Conference on Signal Propagation and Computer Technology (ICSPCT 2014)	DOI	View
28-02-2011	DR. MOUMITA PRADHAN	Lossless Secure Transmission in Bluetooth Scatternet, Considering Device Mobility. : Ratnadeep Debnath, Bama Charan Kundu, Moumita Pradhan, Dinesh Pradhan. : 2011 2nd International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology (Wireless VITAE)	DOI	View
26-10-2010	DR. MOUMITA PRADHAN	Implementation of fuzzy approach to improve time estimation [case study of a thermal power plant is considered : Moumita Pradhan; Dinesh Pradhan; G. Bandyopadhyay : AIP Conference Proceedings	DOI	View
18-12-2004	DR. MOUMITA PRADHAN	Survey of Quantum Machine Learning in IoT Application Field : Dr. Moumita Pradhan : ICICNIS 2024	DOI	View

Book Chapter

Date	Name	Description	Editor	ISBN	DOI	Link
06-02-2026	MANAS ROY	: Mr. Md. Keramot Hossain Mondal,r. Sabbir Tarafdar,Mrs Kalpana Roy,Mr. Manas Kumar Roy : Problem solving and python programming	RG International Publication	978-93-47331-91-6	DOI	View
02-02-2026	MD KERAMOT HOSSAIN MONDAL	: Md. Keramot Hossain Mondal ,SABBIR REZA TARAFDER ,kalpaba roy ,manas kumar roy : PROBLEM SOLVING AND PYTHON PROGRAMMING		978-93-47331-91-6	DOI	View
25-05-2025	MD KERAMOT HOSSAIN MONDAL	: Dr. C. K. GOMATHY, Dr. V. GEETHA, Mrs. ELAVARASI KESAVAN, MD KERAMOT HOSSAIN MONDAL : ARTIFICIAL INTELLIGENCE AND ITS APPLICATIONS		978-93-49773-66-0	DOI	View
15-04-2021	Dr. Suman Bhattacharjee	: Suman Bhattacharjee, Siuli Roy, Sipra Das Bit : Post-disaster Navigation and Allied Services over Opportunistic Networks		978-981-16-1240-4	DOI	View
01-01-2020	DR. MOUMITA PRADHAN	: Provas Kumar Roy, Moumita Pradhan, Tandra Pal : Advancement of swarm intelligence algorithms for solving real world problem	IGI global	978-1799832225	DOI	View
01-01-2016	DR. MOUMITA PRADHAN	: Moumita Pradhan , Provas Kumar Roy , Tandra Pal : Handbook of Research on Natural Computing for Optimization Problems	ACIR	2327-0411	DOI	View

Patents

Title	Name	Patent Number	Patent Office	Date	Status	Country	Application No.	Abstract
INTELLIGENT IOTENABLED MACHINE LEARNING SYSTEM FOR ENVIRONMENTAL POLLUTION–BASED EARLY CANCER DETECTION IN SMART CITIES	RAM PRASAD CHAKRABORTY	IN202621020491 A1	Chennai	10-04-2026	publish	india	202621020491	The present invention provides a framework incorporates sensor networks designed to track pollutants in air, water, and soil alongside wearable health technology that gathers physiological data. A machine learning algorithm processes the integrated environmental and health information to detect early indicators of cancer risk associated with pollution exposure. The system offers immediate alerts, preventive suggestions, and predictive analytics, thereby facilitating proactive healthcare measures and promoting wellness management within smart cities.
AI-Enhanced Intrusion Detection Device for Secure Vehicular Ad Hoc Networks	MD KERAMOT HOSSAIN MONDAL	6494519	IP Alley 167-169 Great Portland Street, 5th Floor, London, W1W 5PF	08-01-2026	Certificate issue	UK	6494519
AI -Enhanced Intrution Detection device for secure vehicular Adoc Network	MANAS ROY	6494519	Comptroller-General of Patents, Designs and Trade Marks Intellectual Property Office,U.K	20-12-2025	patent granted and certificate issued	UK	6494519	AI -Enhanced Intrution Detection device for secure vehicular Adoc Network
A System for Real-Time Stock Market Forecasting and Its Method Thereof	DR. DINESH KUMAR PRADHAN (HoD)	202531088665	Intellectual Property Office Building, CP-2 Sector V, Salt Lake City, Kolkata-700091	17-09-2025	Published	India	202531088665	A System for Real-Time Stock Market Forecasting and Its Method Thereof
A Smart Irrigation System and Method for Monitoring and Controlling Water Flow in Agricultural Fields	DR. DINESH KUMAR PRADHAN (HoD)	202431104504	Intellectual Property Office Building, CP-2 Sector V, Salt Lake City, Kolkata-700091	12-09-2025	RQ - Filed	India	202431104504	A Smart Irrigation System and Method for Monitoring and Controlling Water Flow in Agricultural Fields
A SMART IRRIGATION SYSTEM AND METHOD FOR MONITORING AND CONTROLLING WATER FLOW IN AGRICULTURAL FIELDS	DR. MOUMITA PRADHAN	CN111616847A.	Chander Nagar, Janak Puri, New Delhi-110058, India	12-09-2025	published	INDIA	202431104504	A SMART IRRIGATION SYSTEM AND METHOD FOR MONITORING AND CONTROLLING WATER FLOW IN AGRICULTURAL FIELDS
SENTIMENT-AWARE STOCK TRADING BOT USING REINFORCEMENT LEARNING	PRIYANKA ROY		Chennai	05-09-2025	PUBLISHED	INDIA	202541075069	The invention presents a sentiment-aware automated trading framework that fuses real-time sentiment interpretation with a reinforcement-learning trading engine. Central to the architecture is a sentiment extraction module that generates sentiment scores from diverse unstructured sources—namely financial news articles, social media feeds, and thematic blogs. Concomitantly, a market data unit collects conventional technical indicators alongside price time series. The resultant sentiment and market parameters are reconciled within a feature aggregation unit, yielding a coherent market state representation. A reinforcement-learning trading agent then operates upon this representation, selecting among the discrete actions of buying, selling, or holding, with the objective of maximising expected cumulative returns. This objective is qualified by penalties for transaction costs and by the modulation of actions according to current market volatility. A risk management sub-layer monitors exposure and dynamically adjusts position sizing. The architecture accommodates both high-fidelity simulation environments and live trading terminals. By integratively modelling qualitative sentiment alongside quantitative indicators, the presented framework delivers a context-sensitive and robust strategy for algorithmic trading.
cyber security based design patent filed	MANAS ROY	469493-001	THE PATENT OFFICES, GOVT. OF INDIA	12-08-2025	exam report generated	INDIA	469493-001	security based design patent filed
AI-BASED STROKE DISEASE PREDICTION DEVICE	MD KERAMOT HOSSAIN MONDAL	6457818	13-15 TRAFALGAR ROAD, BLACKPOOL, FY1 6AW	14-07-2025	Registered	UK	6457818
MACHINE LEARNING BASED SECURITY DEVICE FOR CLOUD COMPUTING	MD KERAMOT HOSSAIN MONDAL	440605-001	IPR INDIA .KOLKATA	17-03-2025	Certificate issue	india	440605-001
AI related design patent filed	MANAS ROY	449330-001	THE PATENT OFFICES, GOVT. OF INDIA	25-02-2025	exam report generated	INDIA	449330-001	patent application filed
SOLAR POWERED WIRELESS SENSOR NODE FOR DATA COMMUNICATION	MANAS ROY	411655-001	THE PATENT OFFICES, GOVT. OF INDIA	27-03-2024	RUNNING	INDIA	411655-001	NA
SOLAR POWERED WIRELESS SENSOR NODE FOR DATA COMMUNICATION	MD KERAMOT HOSSAIN MONDAL	411655-001	IPR INDIA .KOLKATA	27-03-2024	Certificate issue	India	411655-001
AI BASED DEVICE FOR IDENTIFICATION OF CARDIOVASCULAR DIEASES	MANAS ROY	4081-86-001	THE PATENT OFFICES, GOVT. OF INDIA	20-02-2024	RUNNING	INDIA	4081-86-001	NA
AI BASED DEVICE FOR IDENFICATION OF CARDIOVESCULAR DISEASES	MD KERAMOT HOSSAIN MONDAL	408186-001	IPR INDIA .KOLKATA	20-02-2024	Certificate issue	india	408186-001
SMART MENSTRUAL WASTE DISPOSAL SYSTEM	DR. DINESH KUMAR PRADHAN (HoD)	401388-001	IPO Kolkata	15-02-2024	Granted	India	401388-001
SMART MENSTRUAL WASTE DISPOSAL SYSTEM	DR. MOUMITA PRADHAN	401388-001	Government of India	15-02-2024	Accepted	India	Serial No. : 157004	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
Deep Reinforcement Learning for Energy-Efficient Computation Offloading with DVFS for Time-Critical IoT Applications in Edge Computing	PRIYANKA ROY	IN-UP75020767738770V	DELHI / MUMBAI / CHENNAI / KOLKATA	01-09-2023	PUBLISHED	INDIA	202341046984	Internet of Things (IoT) is a steadily growing industry. It investigates the infrastructure and protocols that allow large and tiny computers to connect to the Internet, share data, and utilise it. As a consequence of this knowledge, people's interactions with their surroundings are evolving. It lays the groundwork for new applications and services that will streamline and accelerate manual tasks. Everything in this composition is intricately intertwined. The majority of the time, Internet of Things-connected devices generate a great deal of data. These devices previously transmitted data to centralised cloud servers. These servers provided the computing power for Cloud Computing (CC). This strategy has a number of drawbacks, including longer wait times, an increased demand for network speed, concerns about privacy and security, and so on. Edge Computing (EC) complements the potent cloud servers in the data centre. It offers tremendous processing power near to the data source, accelerates data transfer, and maintains privacy. Small, battery-powered Internet of Things devices are a significant problem because they consume a great deal of energy. In recent years, the Internet of Things (IoT) community has become increasingly concerned with its energy consumption. This has resulted in a variety of strategies for reducing energy consumption while meeting the increasing demand for computing capacity. When it comes to energy consumption, the central processing unit (CPU) of the computer ranks first. DVFS, which stands for "dynamic voltage and frequency scaling," is a power-saving method employed by modern computers. In this thesis, we demonstrate how to construct an offloading method for a distributed vector file system (DVFS) using reinforcement learning at the edge. Our objective is to discover ways to increase the electrical efficiency of IoT devices. Experiment results indicate that this method can reduce energy consumption while still conducting the application and service-required computing tasks. The proposed method performs better than the native Linux governors in terms of energy efficiency. The average quantity of energy used decreases by 5% when compared to on-demand governors and by 9.5% when compared to conservative governors.
IOT BASED APPLE SWEETNESS MEASUREMENT AND FRUIT DISEASEPREDICTION USING IMAGE PROCESSING TECHNIQUES AND DEEPLEARNING BASED ON HUMAN-COMPUTER INTERACTION FORINDUSTRY 4.0	RAM PRASAD CHAKRABORTY	202341015772	kolkata	17-03-2023	Published	india	202341015772	Disease identification is one of the most difficult elements of agricultural research. When attempting to diagnose a plant's ailment, agricultural specialists usually reference a range of resources. Misdiagnosing ill plants can occasionally lead to the unnecessary administration of pesticides, which can have catastrophic effects on agriculture. Automated disease detection systems are the primary means of increasing their use and obtaining more precise and early disease diagnosis. This is significant for farmers because the alternative is time-consuming and costly. In order to successfully separate the diseased leaf from the healthy leaves, it must be cut into little pieces. Digital noise, which varies from image to image and is influenced by variables such as background, shape, and brightness, making it more difficult to identify a sick photo. To improve the image quality of apple leaf scans so that diseases can be identified and classified, the brightness preserving dynamic fuzzy histogram equalisation technique was created.Determine an apple's flavour by tasting it and examining its leaves. In the following section, we will compare the effectiveness of the proposed strategy to that of other common techniques for improving things. By isolating the area of interest in pictures of sick leaves against a green background, our method surpasses existing segmentation techniques. Examining the Jaccard index, the Dice coefficient, and the precision at this time. The suggested segmentation methodology outperforms the best existing techniques. It is 99.8 percent accurate in distinguishing apple ill leaves from a living backdrop.
WI-FI BASED 3D PRINTER	MD KERAMOT HOSSAIN MONDAL	395122-001	IPR INDIA .KOLKATA	14-03-2023	Certificate issue	india	395122-001
AI AND THE INTERNET OF THINGS(IOT) ARE USED TOGETHER TO MAKE A SAFE ROUTING ALGORITHM FOR MOBILE ADOC NETWOK THAT SAVES ENERGEY	MANAS ROY	202241064060	THE PATENT OFFICES, GOVT. OF INDIA	25-11-2022	RUNNING	INDIA
AI AND THE INTERNET OF THINGS (IOT) ARE USED TOGETHER TO MAKE A SAFE ROUTING ALGORITHM FOR MOBILE AD-HOC NETWORKS THAT SAVES ENERGY	MD KERAMOT HOSSAIN MONDAL		IPR INDIA .KOLKATA	09-11-2022	Published	india	202241064060	ABSTRACT Numerous new devices that can be used to monitor and manage a variety of systems are accelerating the development of electronic technology. The proliferation of Internet of Things devices is intimately associated with the development of information and communication technologies over the past several decades. The information gathered by WSNs, which are comprised of low-cost smart devices, is crucial to the expansion of the Internet of Things. Low power loss networks and wireless sensor networks are two of the most vital components of the Internet of Things. As AI advances and more people adopt it, wireless sensors are more incorporated into networks and industrialised. As a result of the routing strategy's high energy consumption, different network nodes consume varying amounts of energy. This difficulty is resolved by the algorithm protocol's inclination to converge on the local optimal solution.
The Random Forest tree classifier algorithm is used in machine learning and natural language processing (NLP) to detect fake profiles in social networks	MD KERAMOT HOSSAIN MONDAL	202241062670	kolkata	02-11-2022	Published	india	202241062670	False profiles can assist APTs, as well as other types of cybercrime. They have a crucial influence in the occurrence of these risks. This project's major objective is to develop methods for detecting fake social media profiles. There are two methods for detecting fraudulent social media profiles: examining the material on the profile and examining the account itself. According to the majority of persons, the most harmful component of cybercrime is the creation of fake profiles on social networking sites. This violation must be identified prior to notifying the user that a fake account has been established. In the relevant literature, there are several ways and suggestions for detecting fake profiles. This article addresses the role of false identities in APTs and the many approaches for identifying phoney social media profiles that have been proposed by various individuals. To distinguish which profiles are genuine and which are fraudulent, we will examine the efficacy of three supervised machine learning methods.

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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