Grievance
GITA has achieved incredible growth and has a stellar reputation as a top-tier educational institution. The department of Computer Science & Engineering was established in the year of 2004 under umbrella of GITA Engineering College and Bidya Bharati Charitable Trust with a vision to produce creative technocrats in the field of Computer science and Engineering. Then subsequently, due to industry demands AICTE took interest for establishment of new departments like Department of Computer Science and Engineering with specialization Artificial Intelligence, Data Science, Internet of Things, Machine Learning for which Department of Computer Science and Engineering (Data Science) was established in the year 2020 with an objective to cater the demands of industry to handle different set of challenges on Big Data. While the department took birth with under graduate program, the intake capacity was 60, now it rises up to 120. The department has high end laboratories with latest software to full fill demands of students and new research challenges.
Welcome to the department of Computer Science and Engineering (Data Science) at GITA Autonomous College, Bhubaneswar. As head of the department, I am privileged to have this opportunity to introduce our family members. At our department, we are offering undergraduate program based on the cutting-edge technologies such as Artificial Intelligence, Machine Learning, Cyber Security, and Data Science. This program has been designed to prepare the students to handle day to day data analytics problems along with development of software in intelligent way. Our curriculum is constantly updated based on the demands of industry and different data analytics problems being faced by research centers. We are committed to provide up-to-date technology to our students with the fundamentals and the knowledge they need to excel in their future careers. Our faculty members are renowned and experts in their own fields, and they provide highest quality education to our students. They are always committed to help students with proper guidance and support to make them technocrats of repute to sustain every field of life. Besides we offer a wide range of extracurricular activities and different national and international level events that provide students with opportunities to connect industry professionals and academiciansto explore themselves with latest trends and developments in computer science. College has different student clubs independently run by the students where students can show their ability and technical under the leadership of expert faculty members. The department provides excellent infrastructures with latest software and high end laboratoriesto support the dynamic technology trends and to accelerate the research as the college is the best research hob of BijuPatnaik University of Technology.We take this opportunity to invite you to have physical realization. Jai Hind !! Dr. N. K. Kamila
• To contribute effectively to produce quality human resource in the field of information technology and related areas for sustainable development of the country’s IT industry needs.
• To advance the state of the art in computer science and engineering by working on cutting edge research topics, publishing quality research papers and filing enduring patents.
• To serve the local and the national community by creating awareness about IT related products and to impress upon then the importance of knowledge management.
M1 . To produce high quality and motivated graduateprofessionals through a rigorous curriculum of theory and application that develops the ability to solve technical problems, individually and in teams.
M2 . Creating knowledge of fundamental principles and innovative technologies through research within the areas of data science and also in inter-disciplinary topicsthat will look after the development of the society and mankind as a whole.
M3 . Serving the communities to which we belong at local and national levels, combined with a deep awareness of our ethical responsibilities to our profession and society.
| 1 | PEOs | PEO1: The graduates will utilize their expertise in engineering to solve industrial and technological problems. PEO2: Graduates will be innovators and professionals in technology deployment, and system implementation. . PEO3: Graduates will function in their profession with social awareness and responsibilities.. PEO4: Graduates will interact with their peers in industry and society as engineering professionals and leaders. PEO5: Graduates will succeed in achieving innovative skills in the field of research and computer application. |
| 2 | PSOs | PSO1.The graduates will have the ability to design, develop, and innovate software product or Process in a systematic way by applying algorithm design, Artificial Intelligence, Soft Computing and programming skills. PSO2. The graduates will have the ability to take up higher studies, collaborative research and Entrepreneurships in the modern computing environment. PSO3. The graduates will have the ability to achieve additional expertise through add-on programs in Machine Learning, Deep Learning , IoT etc and Lifelong learning. |
| 3 | POs | PO1: Engineering KnowledgeApply the knowledge of mathematics, science, engineering fundamentals, and Computer Science & Engineering to the solution of complex engineering problems. PO2: Problem AnalysisIdentify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences. PO3: Design/Development of SolutionsDesign 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 the cultural, societal, and environmental considerations. PO4: Conduct Investigations of Complex ProblemsUse 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 UsageCreate, 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 SocietyApply reasoning informed by contextual knowledge to assess societal, health, safety, legal, and cultural issues and the consequent responsibilities relevant to professional engineering practice. PO7: Environment and SustainabilityUnderstand the impact of professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for, sustainable development. PO8: EthicsApply ethical principles and commit to professional ethics and responsibilities and norms of engineering practice. PO9: Individual and Team WorkFunction effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings. PO10: CommunicationCommunicate effectively on complex engineering activities with the engineering community and with 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 FinanceDemonstrate knowledge and understanding of 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 LearningRecognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change |
Research Publications and Patents
Computer Science and Engineering (CSE)
Research Publications
| Author | year of publication | Research paper | Jurnal | Publisher | Vol |
|---|---|---|---|---|---|
| T. P. Pattanaik | 2023 | AI Enabled Energy Management Control Techniques For Fuel Cell Based Electric Vehicle | Patent | ||
| Dr. N. K. Kamila | 2023 | Machine Learning Approaches for quality analysis of drinking water | Proceeding of International Conference on Systems and Technologies for Smart Agriculture, Organized at Kolkata | ||
| T. P. Pattanaik | 2024 | AI Powered Healthcare Improving Patient Outcomes and Insurance Efficiency | Patent | ||
| Leepsarani Jena | 2024 | Deep feature extraction and fine k-nearest neighbour for enhanced human papillomavirus detection in cervical cancer- a comprehensive analysis of colposcopy images | International Journal of Contemp Oncol | ||
| Leepsarani Jena | 2024 | Lipid droplet segmentation using U-net convolutional neural network architecture | Proceedings of 4th International Conference on Physical Sciences and Materials | ||
| Dr. N. K. Kamila | 2024 | An Exhaustive Inference of Machine Learning Applications in Healthcare: Analyzing Research Studies on Diagnosis and Prevention | Book Chapter Book: Driving Global Health and Sustainable Development Goals with Smart Technology (IGI Publication) | ||
| Dr. N. K. Kamila | 2024 | Iot-based heart rate and blood oxygen monitor with automatic data saving relating to the dt (design thinking) framework | Indian Patent No: 202421001220 | ||
| Dr. N. K. Kamila | 2024 | Explainable AI model for transparent decision-making in complex systems | Indian Patent No: 202411005504 | ||
| Dr. N. K. Kamila | 2024 | Machine learning framework for proactive cybersecurity threat detection | Indian Patent No: 202411005503 | ||
| Dr. N. K. Kamila | 2024 | Deep learning models for autonomous systems in real world environments | Indian Patent No: 202421007342 | ||
| Dr. N. K. Kamila | 2024 | Privacy-preserving machine learning algorithm for sensitive data | Indian Patent No: 202431016465 | ||
| Dr. N. K. Kamila | 2024 | Smart agriculture statistics-automatic monitoring system using artificial intelligence | Indian Patent No: 202441028360 | ||
| Dr. N. K. Kamila | 2024 | Self-improving artificial intelligence through reinforcement learning | Indian Patent No: 202431025921 | ||
| Dr. N. K. Kamila | 2024 | Adaptive cybersecurity framework with ai-driven threat detection and mitigation | Indian Patent No: 202421025918 | ||
| Dr. N. K. Kamila | 2024 | Artificial intelligence driven portfolio management system | Indian Patent No: 202441036582 | ||
| Dr. N. K. Kamila | 2024 | Anomaly detection in network traffic: machine learning algorithm | Indian Patent No: 202421032265 | ||
| Dr. N. K. Kamila | 2024 | Machine learning based risk management of credit sales in small and mid-size business | Indian Patent No: 202441043726 | ||
| Dr. N. K. Kamila | 2024 | Machine learning based risk management of credit sales in small and mid-size business | Indian Patent No: 202441043726 |
Faculty Achievement
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Department Conducted Conferences / FDPs / Seminars / Guest Lectures / Workshops
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