The syllabus of NIT Raipur has been designed in keeping with the present requirements of the Industry. The endeavor of apprising the student of the latest in Information and Technology has resulted in up gradation of the syllabus from time to time, the latest changes being brought into effect from 2000

Laboratory	Name of Laboratory to be Conducted
Computer Laboratory-1  ABOUT Computer Laboratory-1 is situated on the Second floor Room No-47-A in the Department of Computer Science and Engineering, NIT Raipur. This laboratory provides a platform for all students (Bachelor’s) for Computer programming in different language, simulation, and Analysis tasks. This lab is equipped with more than sixty high configuration desktop and Workstations. Lab is equipped with different utility software such as Windows 10 Pro Education, Office 365 and Open Source Software etc. This lab is rationalized to support various practical sessions for undergraduate courses.	Computer Networks Data Base Management System Operating Systems (Unix/Linux) Advance Data Structure Analysis Design of Algorithm Distributed system OOP s Programming Cryptography and Network Security Data Warehousing and Data Mining & Artificial Intelligence
Computer Laboratory-2  ABOUT Computer Laboratory-1 is situated on the Second floor Room No-43-A in the Department of Computer Science and Engineering, NIT Raipur. This laboratory provides a platform for all students (Research Scholars) for Computer programming in different language, simulation, and Analysis tasks. This lab is equipped with more than sixty high configuration desktop and Workstations. Lab is equipped with different utility software such as Windows 10 Pro Education, Office 365 and Open Source Software etc. This lab is rationalized to support various practical sessions for undergraduate courses.
Research Laboratory	Research, simulation, and Analysis tasks.
ABOUT Research Laboratory is situated on the Second floor Room No-46 in the Department of Computer Science and Engineering, NIT Raipur. This laboratory provides a platform for all students (Master’s, and Research Scholars) for Computer programming in different language, simulation, and Analysis tasks. This lab is equipped with High configuration Workstations. Lab is equipped with different utility software such as Windows 10 Pro Education, Python, and Office 365 and Open Source Software etc.
Major Equipments GPU-02 Nos. – Is situated on the Computer Center, NIT Raipur.	GPU computing key to machine learning and big data, Research, simulation, and Analysis tasks.

 Facilities:

 

Computer Lab-1

Details Of Equipment / Computer System: ACER Veriton PC: - Intel(R) Core(TM) i5- 10900 CPU @ 2.80GHz 2.81 GHz, RAM :- 4.0 GB, Hard Disk : - 500 GB, Network Card : - 10/10/1000 Mbps Software Installed: OS Windows 10 Pro, Python, Code Block No. of System: 40 Nos Projector: 1 Nos Details Of Equipment / Computer System: HP EliteDesk 800 G6 Tower PC: - Intel(R) Core(TM) i9- 10900 CPU @ 2.80GHz 2.81 GHz, RAM :- 32.0 GB, Hard Disk : - 1 TB, Network Card : - 10/10/1000 Mbps Software Installed: OS Windows 10 Pro, Python, NetBeans, Code Block No. of System: 08 Nos

Computer Lab-2

Details Of Equipment / Computer System: HP EliteDesk 800 G6 Tower PC: - Intel(R) Core(TM) i9- 10900 CPU @ 2.80GHz 2.81 GHz, RAM :- 32.0 GB SSD : - 1 TB, Graphics Card:- 4 GB Network Card : - 10/10/1000 Mbps Software Installed: OS Windows 11 Pro, Python, Netbean, Code Block No. of System: 22 Nos Projector: 1 Nos Details Of Equipment / Computer System: Dell OptiPlex 5270 AIO PC: - Intel(R) Core(TM) i5- 9500 CPU @ 3.00GHz 3.00 GHz, RAM :- 16.0 GB, Hard Disk: - 1 TB, Network Card : - 10/10/1000 Mbps Software Installed: OS Windows 10 Pro, Python No. of System: 18 Nos Details Of Equipment / Computer System: HP EliteDesk 800 PC: - Intel(R) Core(TM) i7- 4770 CPU @ 3.40GHz 3.40 GHz, RAM :- 4.0 GB, Hard Disk: - 500 GB, Network Card : - 10/10/1000 Mbps Software Installed: OS Windows 10 Pro, Python No. of System: 08 Nos

Research Lab

Details Of Equipment / Computer System: Lenovo ThinkStation Intel Xeon Workstation: - Intel(R) Xeon(TM) i5- 10900 CPU @ 2.80GHz 2.81 GHz, RAM :- 32.0 GB, Hard Disk : - 2 TB, Graphics Card :- 16 GB Network Card : - 10/10/1000 Mbps Software Installed: OS Windows 10 Pro, Python, Anaconda No. of System: 9 Nos Details Of Equipment / Computer System: Tyron Workstation: - Intel(R) Xeon Silver 4210 CPU @ 2.20GHz 2.20 GHz, RAM :- 64.0 GB, Hard Disk : - 2 TB, Graphics Card:- 16 GB Network Card : - 10/10/1000 Mbps Software Installed: OS Windows 10 Pro, Python, Anaconda No. of System: 1 Nos Details Of Equipment / Computer System: Tyron Workstation: - Intel(R) Xeon(TM) i5- 10900 CPU @ 2.80GHz 2.81 GHz, RAM :- 128.0 GB, Hard Disk : - 4 TB, Graphics Card:- 32 GB , Network Card : - 10/10/1000 Mbps Software Installed: OS Windows 10 Pro, Python, Anaconda No. of System: 2 Nos Details Of Equipment / Computer System: SuperMicro Fusion Workstation: - Intel(R) Xeon Silver 4210 CPU @ 2.20GHz 2.20 GHz, RAM :- 128.0 GB, Hard Disk : - 4 TB, Graphics Card:- 16 GB Network Card : - 10/10/1000 Mbps Software Installed: OS Windows 10 Pro, Python, Anaconda, No. of System: 2 Nos Details Of Equipment / Computer System: Dell Inc. PowerEdge R740 Server: - Intel(R) Xeon(R) Silver 4116 CPU @ 2.10GHz 2.10 (2 Processor) GHz, RAM :- 128.0 GB, Hard Disk : - 8 TB , Graphics Card:- 16 GB Network Card : - 10/10/1000 Mbps Software Installed: OS Windows server 2019 Standard, Python, Anaconda No. of System: 2 Nos

Miscellaneous

One UG Lab; One PG Lab; One Research Labs; Head of Department Office; office with facility, telephone, printer available for students/faculty, Individual faculty Cabin with Computing, Internet, telephone, two class room with LCD projector, computer, Internet connectivity.

 

 

Consultancy Services Provided by the Computer Science & Engineering Department

 

The department of Computer Science and Engineering (CSE), NIT Raipur offers Research and Consultancy Services to Govt. Sectors, Industries, Higher Education Institution, Technical Universities, and other National and International agencies. The main objective is to foster strong links with above-mentioned bodies for collaborative research, technology transfer, and specialized human resource development. Consultancy services are offered in the areas of expertise available within the department of Computer Science and Engineering. Here are some of the key consultancy services offered:

Software Development and Optimization:
• Custom software design and development.
• Performance optimization of existing software applications.
• Development of scalable and efficient algorithms.

Data Analysis and Big Data Solutions:
• Data mining and predictive analytics.
• Big data processing using Hadoop, Spark, and other technologies.
• Design and implementation of data warehouses and data lakes.

Artificial Intelligence and Machine Learning:
• Development and deployment of machine learning models.
• Natural language processing (NLP) and computer vision applications.
• AI-driven automation solutions for various industries.
• Brain-computer interfaces
• Responsible AI (Mitigation of Adversarial Attacks)

Cybersecurity, Network Management and Digital Forensics:
• Security audits and vulnerability assessments.
• Development of robust security protocols and encryption methods.
• Network design, monitoring, and management services.

Database Design and Management:
• Design and implementation of relational and NoSQL databases.
• Database optimization and migration services.
• Real-time data processing and management solutions.

Cloud Computing and Virtualization:
• Cloud architecture design and deployment.
• Migration of applications to cloud platforms (AWS, Azure, Google Cloud).
• Virtualization solutions for enhanced resource management.

Internet of Things (IoT) Solutions:
• Development of IoT frameworks and architectures.
• Integration of IoT devices with existing systems.
• Data collection and analytics from IoT devices.

Consultation on Emerging Technologies:
• Blockchain technology and its applications.
• Development of augmented reality (AR) and virtual reality (VR) applications.
• Quantum computing research and practical applications.

System Integration and Automation:
• Integration of disparate systems for seamless operation.
• Development of automation scripts and tools.
• Workflow optimization and process automation.

Technical Training and Workshops:
• Customized training programs for industry professionals.
• Workshops on the latest technologies and methodologies.
• Hands-on training sessions on software tools and platforms.

By providing these consultancy services, the CSE department helps organizations stay ahead in the rapidly evolving technological landscape, ensuring they can effectively leverage modern computing technologies to achieve their business goals.

Capabilities:

E-commerce:

AI-Driven Product Recommendations:

Personalized product recommendations enhance the shopping experience by suggesting items that customers are likely to be interested in, based on their browsing and purchasing history.

Dynamic Pricing Strategies:

AI can analyze market trends, competitor pricing, and customer behavior to dynamically adjust prices in real-time. This ensures that prices remain competitive while maximizing profit margins, helping businesses respond quickly to market changes and demand fluctuations.

Customer Service Chatbots:

AI-powered chatbots provide instant customer support, handling queries, and resolving issues 24/7. This improves customer satisfaction by providing quick and accurate responses, freeing up human agents to focus on more complex tasks.

Visual Search and Image Recognition:

Visual search allows customers to search for products using images rather than text. AI-driven image recognition technology matches uploaded images with similar products in the catalog, enhancing the shopping experience and making it easier for customers to find what they are looking for.

Customer Retention and Loyalty Programs:

Retaining customers is more cost-effective than acquiring new ones. AI helps design and manage loyalty programs by analyzing customer behavior and preferences. This ensures that rewards and incentives are tailored to individual customers, fostering loyalty and repeat business.

Fraud Detection and Prevention:

E-commerce platforms are vulnerable to various types of fraud, including payment fraud and account takeovers. AI-based fraud detection systems monitor transactions in real-time, identifying and flagging suspicious activities to prevent financial losses and protect customer data.

Tech Firms:

AI-Powered Product Development:

AI can accelerate product development by automating tasks such as coding, testing, and bug detection. It can also provide insights into user behavior and preferences, guiding the design and development of features that meet market demand.

Predictive Maintenance and Support:

For tech firms offering hardware or IoT products, predictive maintenance can foresee potential issues before they occur, reducing downtime and maintenance costs. AI analyzes data from devices to predict failures and schedule maintenance proactively, improving customer satisfaction and product reliability.

Enhanced Cybersecurity Solutions:

Cybersecurity is a top priority for tech firms. AI can detect and respond to threats faster than traditional methods by analyzing patterns and identifying anomalies in real-time. This helps prevent cyberattacks, safeguard sensitive data, and maintain the integrity of IT systems.

Intelligent Data Analytics:

Tech firms often handle large volumes of data. AI-driven analytics provide deeper insights into this data, enabling better decision-making. By uncovering hidden patterns and trends, businesses can optimize their operations, enhance product offerings, and identify new growth opportunities.

Intelligent Project Management:

AI-powered project management tools can predict project timelines, allocate resources efficiently, and identify potential bottlenecks. This ensures that projects are completed on time and within budget, enhancing productivity and project outcomes.

Healthcare Industry:

R&D: Development of Clinical Practice

Discover the full potential of your research and development (R&D) endeavors and accelerate the delivery of transformative therapies – maximize patient acquisition and retention tactics, improve trial design and protocol creation, and optimize operational efficiencies throughout the clinical development lifecycle.

Security of Patients and Pharmacovigilance

Utilize cutting-edge analytics to detect unfavorable events, reduce risks, and guarantee regulatory compliance to stay ahead of the game with real-time information.

Telemedicine Platforms

Utilize software development tools to develop Telemedicine platforms to enable remote consultations between patients and healthcare professionals via video, phone, or messaging.

 

Medical Imaging Software

Leverage Medical imaging software to capture, analysis, and interpretation of diagnostic images, such as X-rays, MRIs, and CT scans. Advanced imaging software includes features for image enhancement, 3D reconstruction, and automated analysis, aiding radiologists in detecting abnormalities and making accurate diagnoses.

Diagnostic Imaging and Analysis

Utilizing advanced AI-powered diagnostic imaging tools analyze and interpret medical images. Machine learning algorithms, particularly those based on deep learning, can detect patterns and anomalies in X-rays, MRIs, and CT scans with high precision.

Virtual Health Assistants

Leverage AI-driven virtual health assistants to offer 24/7 support to patients by providing personalized health information, answering medical queries, and managing appointment scheduling.

Drug Discovery and Development

Utilize advanced data analytics and machine learning algorithms for drug discovery and development by analyzing complex biological data, predicting drug interactions, and identifying potential candidates for clinical trials.

 

Marketing & Finance:

AI-Driven Analytics for Consumer Behavior:

AI-driven analytics provide deep insights into customer preferences, purchasing patterns, and engagement metrics. This allows businesses to tailor their marketing efforts, ensuring they reach the right audience with the right message, ultimately increasing conversion rates and customer loyalty.

Targeted and Personalized Marketing Campaigns:

By utilizing AI, we can segment audiences more accurately and create highly personalized content and offers. This not only enhances customer experience but also boosts marketing efficiency and ROI.

Predictive Modeling and Algorithmic Trading:

 

Predictive modeling and algorithmic trading use advanced algorithms and AI to forecast market trends and automate trading decisions. This helps in maximizing returns while minimizing risks, making investment strategies more effective and responsive to market changes.

Risk Assessment and Management:

Accurate risk assessment is vital for the financial health of any organization. AI-driven risk assessment tools can identify potential risks more quickly and accurately than traditional methods, enabling proactive management and mitigation strategies.

Fraud Detection:

Fraudulent activities can have severe financial and reputational consequences. AI-powered fraud detection systems can analyze patterns and detect anomalies in real-time, significantly reducing the likelihood of fraud and ensuring the integrity of financial transactions.

Financial Forecasting:

Reliable financial forecasting is essential for strategic planning and decision-making. AI enhances forecasting accuracy by analyzing historical data and identifying trends and patterns, helping businesses plan for the future with greater confidence and precision.

Manufacturing:

Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM)

CAD software assists in designing products and creating detailed engineering drawings. CAM software translates these designs into instructions for manufacturing machines. Together, CAD and CAM systems streamline the design-to-production process, improve accuracy, and reduce time-to-market by automating design adjustments and manufacturing instructions.

Predictive Maintenance Systems

Utilize data science techniques such as machine learning (ML) to proactively detect and prevent equipment failures before they occur. By analyzing historical maintenance data, operational conditions, and sensor data, these systems predict when maintenance is needed, reducing unplanned downtime and extending the lifespan of machinery.

Industrial Internet of Things (IIoT) Platforms

Develop IIoT platforms for providing insights into machine performance, operational efficiency, and environmental conditions. IIoT solutions enable remote monitoring, predictive maintenance, and process optimization, improving overall manufacturing performance and responsiveness.

Robotic Process Automation

Utilizing automatic software to automates repetitive and rule-based tasks, such as data entry and report generation.

Product Innovation Acceleration

Leverage ML algorithms to analyze customer feedback, market trends, competitor insights, uncover hidden patterns, and identify new product opportunities. Make data-driven decisions that drive innovation and deliver products that meet and exceed customer expectations.

 

Demand Forecasting

Apply advanced analytics and machine learning algorithms with historical sales data to predict future demand accurately, optimize inventory and make informed decisions for maximizing profitability and customer satisfaction.

Travel:

Personalized Travel Recommendations

Leverage advanced analytics to tailor travel suggestions, from destinations and accommodations to activities and dining options. This personalization enhances customer satisfaction by offering highly relevant recommendations and creating a more engaging and customized travel experience.

Dynamic Pricing Optimization

Apply advanced data analytics and machine learning algorithms to analyze real-time data on demand, market trends, competitor pricing, and customer behavior to adjust prices dynamically. This ensures that airlines, hotels, and other service providers can maximize revenue by offering competitive rates while managing inventory effectively. B

Intelligent Customer Support

Leverage advanced customer experience analytics solutions to customer support in the travel industry, handle inquiries, bookings, and support requests 24/7, offering instant responses and personalized assistance.

Enhanced Security and Fraud Detection

Leverage advanced analytics to analyze transaction data and customer behavior for suspicious activity.

Market Trend Analysis

Market trend analysis in the travel industry is powered by data science, providing insights into emerging trends, customer preferences, and competitive dynamics. By analyzing social media data, search trends, and booking patterns, businesses can identify new market opportunities, adjust their offerings, and develop targeted marketing strategies.

Agriculture:

Precision Farming

Applying advanced analytics, AI, data science, and IoT to optimize agricultural practices by analyzing and acting on data gathered from various sources. AI algorithms process data from soil sensors, weather stations, and satellite imagery to provide actionable insights on planting schedules, irrigation needs, and fertilization.

Crop Monitoring and Management

Leverage predictive analytics to monitor images captured by drones or satellites to detect crop health issues, such as diseases or pest infestations, early.

Smart Irrigation Systems

Leverage ML algorithms to revolutionize water management in agriculture. AI algorithms analyze data to determine the optimal irrigation schedules and amounts, ensuring that crops receive the right amount of water.

Livestock Monitoring

Apply Data analytics and machine learning algorithms to analyze and detect early signs of illness or stress, allowing for timely intervention and management. This comprehensive monitoring improves animal welfare, enhances productivity, and reduces losses in livestock management.

Climate and Weather Analysis

Utilize data science techniques such as machine learning (ML) to analyze historical weather data and real-time climate conditions, predictive models provide accurate forecasts and climate projections.

Pest and Disease Control

Analyze data from environmental sensors and traps to predict pest outbreaks and disease spread utilizing machine learning algorithms. Leveraging IoT devices to monitor pest populations and crop conditions in real time, providing early warnings of potential issues.

Market Analysis and Price Forecasting

Leverage predictive analytics to provide valuable insights into commodity prices and market trends. AI models enhance these forecasts by incorporating real-time data and market dynamics. By leveraging advanced analytics, farmers can better navigate market fluctuations and enhance their financial outcomes.

Technical Expertise: (Add + button to view in website)

The department has dedicated and highly qualified faculty members who are active in research and consultancy services.

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Dilip Singh Sisodia
· Dr. Manu Vardhan
· Dr. Jitendra Kumar Raut
· Dr. Deepak Singh
· Dr. Sonal Yadav
· Dr. Karnati Mohan

NETWORK SECURITY
· Dr. Manu Vardhan
· Dr. Preeti Chandrakar
· Dr. K. Jairam Naik
Dr. Nitesh K Bharadwaj
· Dr. Madhukrishna Priyadarsini

CLOUD COMPUTING
· Dr. Manu Vardhan
· Dr. Madhukrishna Priyadarsini
· Dr. K. Jairam Naik

COMPUTER NETWORKS
· Dr. Manu Vardhan
· Dr. Preeti Chandrakar
· Dr. K. Jairam Naik
Dr. Nitesh K Bharadwaj
· Dr. Madhukrishna Priyadarsini

CYBER SECURITY & DIGITAL FORENSICS
· Dr. Manu Vardhan
· Dr. Nitesh K Bharadwaj
· Dr. Shailendra Kumar Tripathi
· Dr. Madhukrishna Priyadarsini

DATA SCIENCE
· Dr. Pradeep Singh
· Dr. Dilip Singh Sisodia
· Dr. Aakanksha Sharaff
· Dr. Deepak Singh
· Dr. Karnati Mohan
·
DATA MINING
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Dilip Singh Sisodia
· Dr. Aakanksha Sharaff
· Dr. Deepak Singh
· Dr. Karnati Mohan

IMAGE PROCESSING
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Dilip Singh Sisodia
· Dr. Deepak Singh
· Dr. Sonal Yadav
· Dr. Karnati Mohan

PATTERN RECOGNITION
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Dilip Singh Sisodia
· Dr. Deepak Singh
· Dr. Sonal Yadav
· Dr. Karnati Mohan

NATURAL LANGUAGE PROCESSING
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Jitendra Kumar Raut
· Dr. Aakanksha Sharaff
· Dr. Karnati Mohan

SOFTWARE ENGINEERING
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Madhukrishna Priyadarsini
· Dr. Aakanksha Sharaff


DATABASE MANAGEMENT
· Dr. Pradeep Singh
BLOCKCHAIN TECHNOLOGIES
· Dr. Manu Vardhan
· Dr. Preeti Chandrakar


CONTACT US

Communication Address:
Department of Computer Science & Engineering
National Institute of Technology Raipur
Great Eastern Rd, Amanaka, Raipur-492010, Chhattisgarh, India

Email: hod.cse [at] nitrr.ac.in
Phone: +91-9407627366

 

 

Area

 

• Inspection of Computers and Hardwares
• Designing of Graphic & multimedia.
• Software Design
• Software Development.
• Software Testing.

 

 

 

Consultancy Services Provided by the Computer Science & Engineering Department

 

The department of Computer Science and Engineering (CSE), NIT Raipur offers Research and Consultancy Services to Govt. Sectors, Industries, Higher Education Institution, Technical Universities, and other National and International agencies. The main objective is to foster strong links with above-mentioned bodies for collaborative research, technology transfer, and specialized human resource development. Consultancy services are offered in the areas of expertise available within the department of Computer Science and Engineering. Here are some of the key consultancy services offered:

Software Development and Optimization:
• Custom software design and development.
• Performance optimization of existing software applications.
• Development of scalable and efficient algorithms.

Data Analysis and Big Data Solutions:
• Data mining and predictive analytics.
• Big data processing using Hadoop, Spark, and other technologies.
• Design and implementation of data warehouses and data lakes.

Artificial Intelligence and Machine Learning:
• Development and deployment of machine learning models.
• Natural language processing (NLP) and computer vision applications.
• AI-driven automation solutions for various industries.
• Brain-computer interfaces
• Responsible AI (Mitigation of Adversarial Attacks)

Cybersecurity, Network Management and Digital Forensics:
• Security audits and vulnerability assessments.
• Development of robust security protocols and encryption methods.
• Network design, monitoring, and management services.

Database Design and Management:
• Design and implementation of relational and NoSQL databases.
• Database optimization and migration services.
• Real-time data processing and management solutions.

Cloud Computing and Virtualization:
• Cloud architecture design and deployment.
• Migration of applications to cloud platforms (AWS, Azure, Google Cloud).
• Virtualization solutions for enhanced resource management.

Internet of Things (IoT) Solutions:
• Development of IoT frameworks and architectures.
• Integration of IoT devices with existing systems.
• Data collection and analytics from IoT devices.

Consultation on Emerging Technologies:
• Blockchain technology and its applications.
• Development of augmented reality (AR) and virtual reality (VR) applications.
• Quantum computing research and practical applications.

System Integration and Automation:
• Integration of disparate systems for seamless operation.
• Development of automation scripts and tools.
• Workflow optimization and process automation.

Technical Training and Workshops:
• Customized training programs for industry professionals.
• Workshops on the latest technologies and methodologies.
• Hands-on training sessions on software tools and platforms.

By providing these consultancy services, the CSE department helps organizations stay ahead in the rapidly evolving technological landscape, ensuring they can effectively leverage modern computing technologies to achieve their business goals.

Capabilities:

E-commerce:

AI-Driven Product Recommendations:

Personalized product recommendations enhance the shopping experience by suggesting items that customers are likely to be interested in, based on their browsing and purchasing history.

Dynamic Pricing Strategies:

AI can analyze market trends, competitor pricing, and customer behavior to dynamically adjust prices in real-time. This ensures that prices remain competitive while maximizing profit margins, helping businesses respond quickly to market changes and demand fluctuations.

Customer Service Chatbots:

AI-powered chatbots provide instant customer support, handling queries, and resolving issues 24/7. This improves customer satisfaction by providing quick and accurate responses, freeing up human agents to focus on more complex tasks.

Visual Search and Image Recognition:

Visual search allows customers to search for products using images rather than text. AI-driven image recognition technology matches uploaded images with similar products in the catalog, enhancing the shopping experience and making it easier for customers to find what they are looking for.

Customer Retention and Loyalty Programs:

Retaining customers is more cost-effective than acquiring new ones. AI helps design and manage loyalty programs by analyzing customer behavior and preferences. This ensures that rewards and incentives are tailored to individual customers, fostering loyalty and repeat business.

Fraud Detection and Prevention:

E-commerce platforms are vulnerable to various types of fraud, including payment fraud and account takeovers. AI-based fraud detection systems monitor transactions in real-time, identifying and flagging suspicious activities to prevent financial losses and protect customer data.

Tech Firms:

AI-Powered Product Development:

AI can accelerate product development by automating tasks such as coding, testing, and bug detection. It can also provide insights into user behavior and preferences, guiding the design and development of features that meet market demand.

Predictive Maintenance and Support:

For tech firms offering hardware or IoT products, predictive maintenance can foresee potential issues before they occur, reducing downtime and maintenance costs. AI analyzes data from devices to predict failures and schedule maintenance proactively, improving customer satisfaction and product reliability.

Enhanced Cybersecurity Solutions:

Cybersecurity is a top priority for tech firms. AI can detect and respond to threats faster than traditional methods by analyzing patterns and identifying anomalies in real-time. This helps prevent cyberattacks, safeguard sensitive data, and maintain the integrity of IT systems.

Intelligent Data Analytics:

Tech firms often handle large volumes of data. AI-driven analytics provide deeper insights into this data, enabling better decision-making. By uncovering hidden patterns and trends, businesses can optimize their operations, enhance product offerings, and identify new growth opportunities.

Intelligent Project Management:

AI-powered project management tools can predict project timelines, allocate resources efficiently, and identify potential bottlenecks. This ensures that projects are completed on time and within budget, enhancing productivity and project outcomes.

Healthcare Industry:

R&D: Development of Clinical Practice

Discover the full potential of your research and development (R&D) endeavors and accelerate the delivery of transformative therapies – maximize patient acquisition and retention tactics, improve trial design and protocol creation, and optimize operational efficiencies throughout the clinical development lifecycle.

Security of Patients and Pharmacovigilance

Utilize cutting-edge analytics to detect unfavorable events, reduce risks, and guarantee regulatory compliance to stay ahead of the game with real-time information.

Telemedicine Platforms

Utilize software development tools to develop Telemedicine platforms to enable remote consultations between patients and healthcare professionals via video, phone, or messaging.

 

Medical Imaging Software

Leverage Medical imaging software to capture, analysis, and interpretation of diagnostic images, such as X-rays, MRIs, and CT scans. Advanced imaging software includes features for image enhancement, 3D reconstruction, and automated analysis, aiding radiologists in detecting abnormalities and making accurate diagnoses.

Diagnostic Imaging and Analysis

Utilizing advanced AI-powered diagnostic imaging tools analyze and interpret medical images. Machine learning algorithms, particularly those based on deep learning, can detect patterns and anomalies in X-rays, MRIs, and CT scans with high precision.

Virtual Health Assistants

Leverage AI-driven virtual health assistants to offer 24/7 support to patients by providing personalized health information, answering medical queries, and managing appointment scheduling.

Drug Discovery and Development

Utilize advanced data analytics and machine learning algorithms for drug discovery and development by analyzing complex biological data, predicting drug interactions, and identifying potential candidates for clinical trials.

 

Marketing & Finance:

AI-Driven Analytics for Consumer Behavior:

AI-driven analytics provide deep insights into customer preferences, purchasing patterns, and engagement metrics. This allows businesses to tailor their marketing efforts, ensuring they reach the right audience with the right message, ultimately increasing conversion rates and customer loyalty.

Targeted and Personalized Marketing Campaigns:

By utilizing AI, we can segment audiences more accurately and create highly personalized content and offers. This not only enhances customer experience but also boosts marketing efficiency and ROI.

Predictive Modeling and Algorithmic Trading:

 

Predictive modeling and algorithmic trading use advanced algorithms and AI to forecast market trends and automate trading decisions. This helps in maximizing returns while minimizing risks, making investment strategies more effective and responsive to market changes.

Risk Assessment and Management:

Accurate risk assessment is vital for the financial health of any organization. AI-driven risk assessment tools can identify potential risks more quickly and accurately than traditional methods, enabling proactive management and mitigation strategies.

Fraud Detection:

Fraudulent activities can have severe financial and reputational consequences. AI-powered fraud detection systems can analyze patterns and detect anomalies in real-time, significantly reducing the likelihood of fraud and ensuring the integrity of financial transactions.

Financial Forecasting:

Reliable financial forecasting is essential for strategic planning and decision-making. AI enhances forecasting accuracy by analyzing historical data and identifying trends and patterns, helping businesses plan for the future with greater confidence and precision.

Manufacturing:

Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM)

CAD software assists in designing products and creating detailed engineering drawings. CAM software translates these designs into instructions for manufacturing machines. Together, CAD and CAM systems streamline the design-to-production process, improve accuracy, and reduce time-to-market by automating design adjustments and manufacturing instructions.

Predictive Maintenance Systems

Utilize data science techniques such as machine learning (ML) to proactively detect and prevent equipment failures before they occur. By analyzing historical maintenance data, operational conditions, and sensor data, these systems predict when maintenance is needed, reducing unplanned downtime and extending the lifespan of machinery.

Industrial Internet of Things (IIoT) Platforms

Develop IIoT platforms for providing insights into machine performance, operational efficiency, and environmental conditions. IIoT solutions enable remote monitoring, predictive maintenance, and process optimization, improving overall manufacturing performance and responsiveness.

Robotic Process Automation

Utilizing automatic software to automates repetitive and rule-based tasks, such as data entry and report generation.

Product Innovation Acceleration

Leverage ML algorithms to analyze customer feedback, market trends, competitor insights, uncover hidden patterns, and identify new product opportunities. Make data-driven decisions that drive innovation and deliver products that meet and exceed customer expectations.

 

Demand Forecasting

Apply advanced analytics and machine learning algorithms with historical sales data to predict future demand accurately, optimize inventory and make informed decisions for maximizing profitability and customer satisfaction.

Travel:

Personalized Travel Recommendations

Leverage advanced analytics to tailor travel suggestions, from destinations and accommodations to activities and dining options. This personalization enhances customer satisfaction by offering highly relevant recommendations and creating a more engaging and customized travel experience.

Dynamic Pricing Optimization

Apply advanced data analytics and machine learning algorithms to analyze real-time data on demand, market trends, competitor pricing, and customer behavior to adjust prices dynamically. This ensures that airlines, hotels, and other service providers can maximize revenue by offering competitive rates while managing inventory effectively. B

Intelligent Customer Support

Leverage advanced customer experience analytics solutions to customer support in the travel industry, handle inquiries, bookings, and support requests 24/7, offering instant responses and personalized assistance.

Enhanced Security and Fraud Detection

Leverage advanced analytics to analyze transaction data and customer behavior for suspicious activity.

Market Trend Analysis

Market trend analysis in the travel industry is powered by data science, providing insights into emerging trends, customer preferences, and competitive dynamics. By analyzing social media data, search trends, and booking patterns, businesses can identify new market opportunities, adjust their offerings, and develop targeted marketing strategies.

Agriculture:

Precision Farming

Applying advanced analytics, AI, data science, and IoT to optimize agricultural practices by analyzing and acting on data gathered from various sources. AI algorithms process data from soil sensors, weather stations, and satellite imagery to provide actionable insights on planting schedules, irrigation needs, and fertilization.

Crop Monitoring and Management

Leverage predictive analytics to monitor images captured by drones or satellites to detect crop health issues, such as diseases or pest infestations, early.

Smart Irrigation Systems

Leverage ML algorithms to revolutionize water management in agriculture. AI algorithms analyze data to determine the optimal irrigation schedules and amounts, ensuring that crops receive the right amount of water.

Livestock Monitoring

Apply Data analytics and machine learning algorithms to analyze and detect early signs of illness or stress, allowing for timely intervention and management. This comprehensive monitoring improves animal welfare, enhances productivity, and reduces losses in livestock management.

Climate and Weather Analysis

Utilize data science techniques such as machine learning (ML) to analyze historical weather data and real-time climate conditions, predictive models provide accurate forecasts and climate projections.

Pest and Disease Control

Analyze data from environmental sensors and traps to predict pest outbreaks and disease spread utilizing machine learning algorithms. Leveraging IoT devices to monitor pest populations and crop conditions in real time, providing early warnings of potential issues.

Market Analysis and Price Forecasting

Leverage predictive analytics to provide valuable insights into commodity prices and market trends. AI models enhance these forecasts by incorporating real-time data and market dynamics. By leveraging advanced analytics, farmers can better navigate market fluctuations and enhance their financial outcomes.

Technical Expertise: (Add + button to view in website)

The department has dedicated and highly qualified faculty members who are active in research and consultancy services.

ARTIFICIAL INTELLIGENCE & MACHINE LEARNING
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Dilip Singh Sisodia
· Dr. Manu Vardhan
· Dr. Jitendra Kumar Raut
· Dr. Deepak Singh
· Dr. Sonal Yadav
· Dr. Karnati Mohan

NETWORK SECURITY
· Dr. Manu Vardhan
· Dr. Preeti Chandrakar
· Dr. K. Jairam Naik
Dr. Nitesh K Bharadwaj
· Dr. Madhukrishna Priyadarsini

CLOUD COMPUTING
· Dr. Manu Vardhan
· Dr. Madhukrishna Priyadarsini
· Dr. K. Jairam Naik

COMPUTER NETWORKS
· Dr. Manu Vardhan
· Dr. Preeti Chandrakar
· Dr. K. Jairam Naik
Dr. Nitesh K Bharadwaj
· Dr. Madhukrishna Priyadarsini

CYBER SECURITY & DIGITAL FORENSICS
· Dr. Manu Vardhan
· Dr. Nitesh K Bharadwaj
· Dr. Shailendra Kumar Tripathi
· Dr. Madhukrishna Priyadarsini

DATA SCIENCE
· Dr. Pradeep Singh
· Dr. Dilip Singh Sisodia
· Dr. Aakanksha Sharaff
· Dr. Deepak Singh
· Dr. Karnati Mohan
·
DATA MINING
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Dilip Singh Sisodia
· Dr. Aakanksha Sharaff
· Dr. Deepak Singh
· Dr. Karnati Mohan

IMAGE PROCESSING
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Dilip Singh Sisodia
· Dr. Deepak Singh
· Dr. Sonal Yadav
· Dr. Karnati Mohan

PATTERN RECOGNITION
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Dilip Singh Sisodia
· Dr. Deepak Singh
· Dr. Sonal Yadav
· Dr. Karnati Mohan

NATURAL LANGUAGE PROCESSING
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Jitendra Kumar Raut
· Dr. Aakanksha Sharaff
· Dr. Karnati Mohan

SOFTWARE ENGINEERING
· Dr. Pradeep Singh
· Prof. Naresh Kumar Nagwani
· Dr. Madhukrishna Priyadarsini
· Dr. Aakanksha Sharaff


DATABASE MANAGEMENT
· Dr. Pradeep Singh
BLOCKCHAIN TECHNOLOGIES
· Dr. Manu Vardhan
· Dr. Preeti Chandrakar


CONTACT US

Communication Address:
Department of Computer Science & Engineering
National Institute of Technology Raipur
Great Eastern Rd, Amanaka, Raipur-492010, Chhattisgarh, India

Email: hod.cse [at] nitrr.ac.in
Phone: +91-9407627366

 

 

Area

 

• Inspection of Computers and Hardwares
• Designing of Graphic & multimedia.
• Software Design
• Software Development.
• Software Testing.

 

 

• GE Edison Challenge 2016 Winners
• Students Achievements in the Academic Session 2015
• Students Achievements in the Academic Session 2013-14
• Students of NIT Raipur top the Amdocs Code Mania 2013

We take pride in offering the world's first POSiT GPGPU R&D Centre. We express our gratitude to our management team and the director of the institution for their incredible support. We thank VividSparks for the technology partnership.

List of Ph.D. Students

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List of Ph.D. Students

Placement Record 2023

Placement Record 2022

Placement Record 2019-20