The Department of Computer Science and Engineering at OP Jindal University is committed to delivering high-quality education at both undergraduate and postgraduate levels. Our curriculum emphasizes strong foundational knowledge in computing, embraces rapidly evolving technologies, and fosters a spirit of continuous innovation.
To ensure that our graduates are highly sought after by the IT industry, the department offers comprehensive training in cutting-edge technologies, promotes professional conduct, instils ethical values, and nurtures leadership and teamwork skills. The flexible and industry-aligned curriculum empowers students to tailor their learning paths, preparing them to meet real-world challenges effectively.
The department boasts a team of experienced and enthusiastic faculty members with expertise in key domains such as Computer Networks, Embedded Systems and IoT, Artificial Intelligence, Cyber Security, Data Science and Data Mining. Well-equipped with state-of-the-art laboratories, advanced hardware-software infrastructure, and modern teaching-learning tools, the department provides an enriching environment for academic growth and technical excellence.
To become a globally recognized hub of excellence in Computer Science & Engineering education by integrating cutting-edge teaching, impactful research, ethical computing practices, and technological innovation to address real-world challenges.
State-of-the-art Computer Labs
Industry-Oriented Curriculum
Media Technology Center
Highly Qualified & Experienced Faculty
Outcome-Based Learning
Emphasis on Soft Skills Development
High-Tech Classrooms with Smart Boards
Professor and Head
The Department of Computer Science and Engineering (CSE) warmly welcomes you to a vibrant and innovative community. Since its inception in 2008 with 60 students, our department has grown to an intake of 120, evolving into a center of advanced learning, research, and technological excellence. Our distinguished faculty offers a diverse curriculum, covering foundational principles and emerging fields like Big Data Analytics, AI, Machine Learning, Cybersecurity, Blockchain, IoT, and more. We equip students with the skills to thrive in the ever-evolving tech landscape, ensuring they stay relevant in a dynamic digital world. Beyond academics, we emphasize hands-on, project-based learning through mini-projects, industry visits, guest lectures, and professional society engagements. Our incubation center and state-of-the-art labs provide an environment conducive to innovation. Strong industry collaborations, internships, and training programs with reputed organizations offer real-world exposure and career readiness. Our alumni hold prestigious positions in IT and academia globally, reinforcing our reputation as a leading institution. We maintain strong industry ties through Memorandums of Understanding (MoUs), enhancing education and research opportunities. Consistently achieving high placement records, our students secure positions in top-tier IT companies. Faculty and students actively contribute to national and international research. The Department of CSE at OPJU is a preferred choice for aspiring engineers. We invite passionate learners to join us in advancing research, innovation, and academic excellence. “With mentoring as a lifelong commitment, we inspire students to achieve excellence and develop essential life skills.” Join us and shape the future!
High Performance Computing Lab is equipped with The Intel i7-12700 processor, a powerful, modern CPU with 12 cores (8 performance cores and 4 efficiency cores), a base clock of 2.10 GHz (and a boost clock up to 4.90 GHz), and a 65W TDP. This lab enables students to develop solutions that push the boundaries of computational efficiency and scalability. This combination of multi-core architecture and energy efficiency makes it a versatile choice in computer science and software engineering, especially for tasks that require significant processing power and multitasking capabilities. The Lab facilitates working on Machine Learning and AI Development: Data Science and Big Data Processing: Database Management and SQL Querying: Content Creation and Multimedia Processing.
Networking Lab is equipped with the Intel i5-2400 3.1 GHz processor to provide students with hands-on experience in understanding, designing, configuring, and analysing computer networks and their underlying protocols. The Networking and IoT (Internet of Things) Lab provides students with a practical environment to explore, design, and implement solutions in the fields of computer networking, wireless communication, and IoT systems. Students gain the skills to troubleshoot, optimise, and secure networks while understanding their real-world applications in fields like cloud computing, cybersecurity, and IoT. The lab integrates theoretical knowledge with hands-on experience to foster an in-depth understanding of networking protocols, IoT architectures, and real-world applications.
The Web and Mobile Application Development Lab is a state-of-the-art facility designed to equip students with cutting-edge skills in designing, developing, and deploying web and mobile applications. The lab emphasizes hands-on experience with the latest technologies to build scalable, responsive, and secure applications for diverse platforms. Students develop Progressive Web Apps (PWAs), real-time chat apps, and cross-platform mobile solutions with live deployment. This lab prepares students for careers in modern software development, emphasizing innovation and industry-ready skills.
The AI & ML Lab is designed to equip students with practical skills and knowledge to implement intelligent systems and machine learning algorithms. It provides a hands-on learning environment to explore the foundations of artificial intelligence, including data processing, algorithm design, and the application of machine learning models in solving real-world problems. The AI section is dedicated to implementing AI models and algorithms such as Machine Learning, Deep Learning, and Natural Language Processing. Students work with frameworks like TensorFlow, PyTorch, and Scikit-learn, gaining insights into real-world AI applications such as computer vision, robotics, and data-driven decision-making.
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Android & Java Lab is a hands-on learning environment where students or developers gain practical experience in Android app development using Java. Participants learn to create and optimize Android applications, focusing on UI design, activity life cycles, databases, and integrating APIs, all while using Android Studio. This lab offers a mix of theory and practical exercises, ideal for beginners and those looking to enhance their mobile development skills.
DBMS & DMW Lab focuses on providing hands-on experience with Database Management Systems (DBMS) and Data Warehousing (DMW) concepts. In this lab, students learn to design, implement, and manage databases using SQL, as well as explore data storage, retrieval, and manipulation techniques. Additionally, the lab covers data warehousing concepts, including ETL processes, data modeling, and the creation of data marts. Through practical exercises and projects, participants gain skills in managing large datasets, performing complex queries, and working with tools for business intelligence and data analysis.
High Performance Computing Lab is equipped with The Intel i7-12700 processor, a powerful, modern CPU with 12 cores (8 performance cores and 4 efficiency cores), a base clock of 2.10 GHz (and a boost clock up to 4.90 GHz), and a 65W TDP. This lab enables students to develop solutions that push the boundaries of computational efficiency and scalability. This combination of multi-core architecture and energy efficiency makes it a versatile choice in computer science and software engineering, especially for tasks that require significant processing power and multitasking capabilities. The Lab facilitates working on Machine Learning and AI Development: Data...
Networking Lab is equipped with the Intel i5-2400 3.1 GHz processor to provide students with hands-on experience in understanding, designing, configuring, and analysing computer networks and their underlying protocols. The Networking and IoT (Internet of Things) Lab provides students with a practical environment to explore, design, and implement solutions in the fields of computer networking, wireless communication, and IoT systems. Students gain the skills to troubleshoot, optimise, and secure networks while understanding their real-world applications in fields like cloud computing, cybersecurity, and IoT. The lab integrates theoretical knowledge with hands-on experience to foster an in-depth understanding of networking protocols, IoT...
The Web and Mobile Application Development Lab is a state-of-the-art facility designed to equip students with cutting-edge skills in designing, developing, and deploying web and mobile applications. The lab emphasizes hands-on experience with the latest technologies to build scalable, responsive, and secure applications for diverse platforms. Students develop Progressive Web Apps (PWAs), real-time chat apps, and cross-platform mobile solutions with live deployment. This lab prepares students for careers in modern software development, emphasizing innovation and industry-ready skills.
The AI & ML Lab is designed to equip students with practical skills and knowledge to implement intelligent systems and machine learning algorithms. It provides a hands-on learning environment to explore the foundations of artificial intelligence, including data processing, algorithm design, and the application of machine learning models in solving real-world problems. The AI section is dedicated to implementing AI models and algorithms such as Machine Learning, Deep Learning, and Natural Language Processing. Students work with frameworks like TensorFlow, PyTorch, and Scikit-learn, gaining insights into real-world AI applications such as computer vision, robotics, and data-driven decision-making.
Android & Java Lab is a hands-on learning environment where students or developers gain practical experience in Android app development using Java. Participants learn to create and optimize Android applications, focusing on UI design, activity life cycles, databases, and integrating APIs, all while using Android Studio. This lab offers a mix of theory and practical exercises, ideal for beginners and those looking to enhance their mobile development skills.
DBMS & DMW Lab focuses on providing hands-on experience with Database Management Systems (DBMS) and Data Warehousing (DMW) concepts. In this lab, students learn to design, implement, and manage databases using SQL, as well as explore data storage, retrieval, and manipulation techniques. Additionally, the lab covers data warehousing concepts, including ETL processes, data modeling, and the creation of data marts. Through practical exercises and projects, participants gain skills in managing large datasets, performing complex queries, and working with tools for business intelligence and data analysis.
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Capgemini
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IndiGo
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SIEMENS
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Tata Steel
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HCL
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Flipkart
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Amicus Technology
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Sales Force
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Humanli AI
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Infosys
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AIRBUS
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Amazon
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TCS
Participated in the TCS iON Career Edge Young Professional Course.
Participated in Internal Hackathon 2024 and achieved the Student level credential for completing the Introduction to Cyber Security Course and completing.
Secured the position in the National Pollution Control Day Quiz. Organized by MBSI Student Chapter, Department of Biotechnology through Online Mode
Completed the NPTEL course titled "Machine Learning and Deep Learning - Fundamentals and Applications" with a consolidated score of 66%. This achievement highlights her commitment to learning and gaining knowledge in the important field of machine learning and deep learning.
Completed the NPTEL course "Machine Learning and Deep Learning - Fundamentals and Applications" with a consolidated score of 66 %
Completed his internship program as a UI/UX Design Intern at Aksonilive Technologies. The internship took place from 30th September 2024 to 20th November 2024.
Completed the NPTEL course "Machine Learning and Deep Learning - Fundamentals and Applications" with a consolidated score of 66 %
Completed the “Vocational Training Program” at Tata Steel Jamshedpur and gained the knowledge of building an e-Commerce website fulfilment and Payment solutions
Completed the workshop entitled “Natural Language Processing and Computer Vision” organized by IBM SkillsBuild.
Completed the workshop entitled “Introduction to Artificial Intelligence” organized by IBM SkillsBuild.
Completed the workshop areas, titled “Machine Learning & Deep Learning,” organized by IBM SkillsBuild.
Completed the NPTEL Online Certification course on "Data Science for Engineers" conducted by Elite, held from July to September 2024. This achievement reflects his dedication and commitment to enhancing his skills in data science.
Completed a 3-month Mentorship Program with Pregrad during their training in Artificial Intelligence with ML(AIML) . They have demonstrated outstanding dedication to becoming a master of the domain, they have shown excellent persuasion skills and can work independently at an industrial level.
Participated in the “CodeQuezt Contest # 12: The Ultimate Coding Challenge hosted by Naukri Campus.
Participated in the “TATA Crucible Campus Quiz 2024” organised by the Tata Group.
Participated in the “Eco Creativity and Innovation Hackathon 2024.” Your innovative idea has been successfully submitted and stands as a testament to your creativity and commitment to sustainable solutions.
Completed Intel Unnati Industrial Training-2024 from May 2024 to July 2024 in the field of Running GenAI on Intel AI Laptops and Simple LLM Inference on CPU under the guidance of O P Jindal University
Completed Intel Unnati Industrial Training-2024 from May 2024 to July 2024 in the field of Running GenAI on Intel AI Laptops and Simple LLM Inference on CPU under the guidance of O P Jindal University
Completed the “Vocational Training Program” at Tata Steel Jamshedpur and gained the knowledge of building an e-Commerce website fulfillment and Payment solutions.
Completing a 1-Month Internship From 15th April 2024 to 15th May 2024 in Web Development with outstanding remarks at ProdigyInfoTech.
Course completed "Data Analytics: Graph Analytics" on 23 May 2024 at 04:30 am UTC 19 Minutes
Reviewer for the 2nd International Conference on Recent Advances in Artificial Intelligence & Smart Applications (RAAISA) 2024, held on December 14-15, 2024, and contributed to reviewing research papers and ensuring the quality of the conference proceedings.
Participated in the International Workshop on "AI Tools for Literature Review" organized by Manuscriptpedia, Kanyakumari from 26-27 October 2024 through online pedagogy.
Delivered an expert lecture as part of the E&ICT Sponsored Online FDP on "Unblocking AI Transparency: A Deep Dive into Explainable AI," held from 11th - 20th November, 2024.
Participated in the International Workshop on "AI Tools for Literature Review" organized by Manuscriptpedia, Kanyakumari on the 26th and 27th of October, 2024 through online pedagogy
Reviewed research papers submitted to the 4th International Conference on Computing, Analytics, and Networks (ICAN-2024). The conference was Jointly organized by Chitkara University, Punjab, India and Chitkara University, Himachal Pradesh, Indian on September 224-25 2024.
Recognition of his contribution as a Reviewer during the "International Conference on Smart Cyber-Physical Systems" organized by the School of Sciences, CRIST (Deemed to be University), Delhi NCR held on 13-14 September 2024.
Participated in the Online International Workshop on "Research Informatics: Module of Research Methodology” held virtually on Monday, September 9th 2024 Organized by Maryam Abacha American University of Nigeria.
Participated in One-Week online Faculty Development Program on "Data Science and Machine Learning Applications for Engineering and Sciences" organized by the Department of Information Technology at Shri Vishnu Engineering College for women (Autonomous), Bhumavaram from 21-10-2024 to 27-10-2024.
Attended the NPTEL Workshop at IIT Kharagpur Research park and was appreciated for his instrumental role as SPOC for the SWAYAM-NPTEL local Chapter.
Delivered an Expert lecture on “Machine Learning with Python” at Kirodimal Government Polytechnic College Raigarh.
Participated in the Faculty Development Program (FDP) by UptoSkills “Leveraging AI for Effective Teaching, Enhancing Critical Thinking and Fostering Personal Growth”.
Delivered an Expert lecture on "Machine Learning with Python" on Saturday, June 01, 2024, at Kirodimal Govt. Polytechnic Raigarh.
Published a research paper entitled Design of Intrusion Detection System Using GA and CNN for MQTT-Based IoT Networks
Completed “Microsoft, SAP & AICTE led Faculty Development Program” under “TechSaksham” from 5th February 2024 to 09th February 2024.
Became a member of Udemy for the course “Theory of Automata Formal, Language and Automata Theory” offered by "Udemy".
Contributing as a Reviewer in the “10th International Conference on Power Systems (ICPS 2023)”, jointly organised by IEEE Bangladesh Section.
Contributing as a Reviewer in the “3rd International Conference on Advanced Network Technologies and Intelligent Computing (ANTIC 2023)”, organised by the Department of Computer Science Banaras Hindu University, Varanasi India in hybrid mode during December 20-22, 2023.
Contributing as a Reviewer in the “10th International Conference on Power Systems (ICPS 2023)”, jointly organised by IEEE Bangladesh Section.
Contributing as a Reviewer in the “21st IEEE OITS International Conference on Information Technology (OCIT 2023)”, from 13th December to 15th December 2023. organised by the Department of Computer Science & Engineering (CS&E) at the National Institute of Technology Raipur Chhattisgarh.
Contributed in an Instrumental role as SPOC for the “SWAYAM-NPTEL” Local Chapter as Active SPOC based on the Performance and participation of Candidates for the Jul-Dec 2023 Semester.
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