COMPUTER SCIENCE & ENGINEERING (AI & ML)
- Core Computer Science Knowledge: Provide a solid understanding of core computer science concepts such as algorithms, data structures, computer organization, and software engineering.
- AI and ML Fundamentals: Introduce students to the fundamental principles and techniques of artificial intelligence and machine learning, covering areas like supervised and unsupervised learning, deep learning, reinforcement learning, and natural language processing.
- Programming Skills: Develop proficient programming skills in languages commonly used in AI and ML applications, such as Python, and ensure the ability to implement algorithms and models.
- Problem Solving and Critical Thinking: Foster problem-solving skills and critical thinking abilities, enabling students to analyze complex problems and devise innovative AI/ML solutions.
- Data Handling and Analytics: Equip students with skills in data preprocessing, cleaning, and analysis, as well as an understanding of big data technologies and tools.
- Specialized AI and ML Applications: Provide in-depth knowledge of specialized AI and ML applications, including computer vision, natural language processing, speech recognition, and robotics.
- Practical Experience: Offer hands-on experience through labs, projects, and internships to ensure that students can apply theoretical concepts to real-world problems.
- Interdisciplinary Perspective: Encourage an interdisciplinary approach, allowing students to integrate AI and ML techniques into various domains such as healthcare, finance, and business.
- Ethical and Responsible AI: Instill ethical considerations in AI and ML development, emphasizing the responsible use of technology, fairness, transparency, and privacy.
- Industry Exposure: Facilitate exposure to industry practices, guest lectures, and industry projects to bridge the gap between academic knowledge and real-world applications.
The objectives of a B.Tech in AI/ML program are as follows:
- Develop a solid foundation in computer science, mathematics, statistics, and data analysis: The program aims to provide students with a strong foundation in these key areas to develop the necessary skills to become successful data scientists.
- Learn advanced techniques and tools in data science: The program aims to teach students the latest techniques and tools used in the field of data science, such as machine learning, data mining, big data analytics, and data visualization.
- Apply data science techniques to real-world problems: The program aims to provide students with hands-on experience in solving real-world problems using data science techniques.
- Develop critical thinking and problem-solving skills: The program aims to help students develop critical thinking and problem-solving skills necessary to succeed in the field of data science.
- Foster creativity and innovation: The program aims to encourage creativity and innovation in data science by providing students with opportunities to work on projects and participate in internships.
- Emphasize the importance of ethical considerations in data science: The program aims to educate students on the importance of ethical considerations in data science, such as data privacy, security, and bias, and how to apply responsible data science practices.
- Prepare students for a successful career in data science: The program aims to equip students with the knowledge and skills necessary to pursue a successful career in data science in various industries, such as healthcare, finance, e-commerce, and many others.
- Engineering Knowledge : Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- Problem Analysis : Identify, formulate, research literature, and analyze complex Engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- Design/development of Solutions : Design solutions for complex engineering problems and design system components or processes that meet t h e specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- 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.
- 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.
- 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.
- 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.
- Ethics : Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- Individual and Team Work : Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- Communication : Communicate 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.
- 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.
- 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.
- PSO1 : Provide Industry led/sponsor Teaching Learning facilities.
- PSO2 : Provide ability to design and develop solution machine learning via sponsor research project.
DEPARTMENTAL VISION
- To become the centre of excellence in teaching, research
and innovative practices for computing.
DEPARTMENTAL MISSION
- To provide a learning ambience to enhance programming skills for problem solving.
- To integrate the software industry and academia in order to utilise technology for research, innovation and entrepreneurship.
- To develop professionals with a solid foundation who can think outside the box to adapt green computing solution.
- To provide a comprehensive computing environment that meets the highest global standards for higher education and lifelong learning.
- To create ethical, skilled engineers through theoretical understanding and practical implementations.
- ELIGIBILITY
- FROM THE DESK of HOD
- SENIOR FACULTY
S.NO | COURSE | DURATION | ELIGIBILITY |
---|---|---|---|
1. | B.Tech | 4 years | Passed 10+2 examination with Physics and Mathematics as compulsory subjects along with one of the Chemistry/ Biotechnology/ Biology/ Technical Vocational subject/ Computer Science/ Information Technology/ Informatics Practices/Agriculture/ Engineering Graphics/ Business Studies. Obtained at least 45% marks (40% marks in case of candidates belonging to reserved category) in the above subjects taken together. |
Dr. Anand Kumar Gupta Email id: [email protected] |
The department of computer science & engineering aims at providing & ensuring outcome based education through qualitative teaching-learning process, meaningful teacher-taught interactions, state-of-the-art laboratories and well qualified faculty. Our department is striving hard to achieve its vision of becoming a centre of excellence in the field of technical education. The department is constantly working towards improving the all-round skill development of our students through organizing guest lectures, seminars, workshops, conferences and career service events facilitated by prominent experts. Our students are highly motivated and demanded by top recruiters for employment. The department provides the arena to build the students capabilities, communication and employability skills. We believe that the teaching-learning process, coupled with practical experience gained during Industrial Training in reputed organizations, equip our students to handle the challenges required by the software industry. In addition to mastering theoretical concepts of computer science practical skills, our focus is to prepare students to conduct research, via minor and major projects offered in the curriculum. Projects offered stretch across diverse areas like algorithms, parallel computing, computer security, artificial intelligence, computer networks, as well as interdisciplinary areas like human-computer interaction, applied machine learning etc.
- Prominent Faculty Members
Name:- Dr. Sandip Vijay Education:- Ph.D. Experience:- 28 Yrs. Designation:- Professor Publications:- 180+ Patent – 17+ | |
Name:- Dr. Anand Kumar Gupta Education:- Ph.D. Experience:- 12 Yrs. Designation:- Associate Professor Publications:- 10 | |
Name:- Dr. Raghav Garg Education:- B.Tech, M.S. , Ph.D, M.B.A. Experience:- 9 Yrs. Designation:- Associate Professor Publications:- 10 | |
Name:- Dr. Priya Matta Education:- Ph.D. Experience:- 19 Yrs. Designation:- Associate Professor Publications:- 62 | |
Name:- Dr. Sandeep Kumar Education:- Ph.D. Experience:- 12.5 Yrs. Designation:- Assistant Professor Publications:- 10 | |
Name:- Dr. Sanjeev Kumar Education:-Ph.D(CSE) Experience:- 17 Yrs. Designation:- Professor Publications:- 51 | |
Name:- Dr. Ahamd Jamal Education:- Ph.D Experience:- 11 Yrs. Designation:- Associate Professor Publications:- 09 | |
Name:- Dr. Tripuresh Joshi Education:- B.Tech, M.Tech, Ph.D. Experience:- 11 Yrs. Designation:- Assistant Professor Specialization: Soilid State Devices , TFET, Optoelectronics Publications:- 15 Research publication in reputed journal and conferences | |
Name:- Dr. Bharti Kalra Education:- Ph.D. Experience:- 12.5 Yrs. Designation:- Associate Professor Publications:- 18 | |
Name:- Dr. Ashish Gupta Education:- M.Tech , Ph.D. Experience:- 13.5 Yrs. Designation:- Associate Professor Publications:- 13 | |
Name:- Dr. Musheer Vaqar Education:- Ph.D Experience:- 17 Yrs. Designation:- Associate Professor Publications:- 22 | |
Name:- Dr. Nirmendra Singh Education:- Ph.D Experience:- 7 Yrs. Designation:- Associate Professor Publications:- 3 | |
Name:- Dr.Shikha Tayal Aeron Education:- Ph.D. Experience:- 13 yrs Designation:- Assistant Professor Publications:- 5 | |
Name:- Dr.Priya Bhardwaj Education:- Ph.D Experience:- 13 Yrs. Designation:- Assistant Professor Publications:- 7 | |
Name:- Mr. Gaurav Gupta Education:- M.Tech Experience:- 11 Yrs. Designation:- Assistant Professor Publications:- 4 Patent:1 RESUME | |
Name:- Mrs. Ritu Pal Education:- M.Tech (CSE), Ph.D (P) Experience:- 11 Yrs. Designation:- Assistant Professor Publications:- 9 Patent:2 | |
Name:- Mr. Brajendra Kumar Sharma Education:- M.Tech, Ph.D. (P) Experience:- 26+ Yrs. Designation:- Assistant Professor
| |
Name:- Mr.Girish Singh Bisht Education:- M.Tech(CSE) Experience:- 6 Yrs. Designation:- Assistant Professor Publications:- 2 Patent:1 | |
Name:- Mr. Devendra Sood Education:- MCA Experience:- 3 Yrs. Designation:- Assistant Professor Publications:- 2 | |
Name:- Mr. Aizaz Ahmad Education:- MCA Experience:- 3.5 yrs. Designation:- Assistant Professor Publications:- 03 | |
Name:- Ms. Vaibhavi Painuly Education:- MCA Experience:- 3.5 yrs. Designation:- Assistant Professor Publications:- 01 | |
Name:- Mr. Sharad Pratap Education:- M.Tech, Ph.d(P) Experience:- 13.5 yrs. Designation:- Assistant Professor Publications:- 03 | |
Name:- Ms. Akanksha Srivastav Education:- Ph.D (P) Experience:- 6 yrs. Designation:- Assistant Professor Publications:- 08 | |
Name:- Ms. Nisha Gupta Education:- MCA Experience:- 3 yrs. Designation:- Assistant Professor | |
Name:- Ms.Divya Negi Education:- MCA Experience:- 1 yrs. Designation:- Assistant Professor Publications:- 01 | |
Name:- Mr.Prashant Education:- Ph.D.(P) Experience:- 16 yrs. Designation:- Assistant Professor Publications:- 11 | |
Name:- Mr.Siddhartha Education:- Ph.D.(P) Experience:- 12 yrs. Designation:- Assistant Professor Publications:- 02 | |
Name:- Ms. Shivali Pundir Education:- M.Tech (CSE) Experience:- 10.5 Yrs. Designation:- Assistant Professor Publications:- 3
| |
Name:- Mr. Anuj Kumar Education:- MCA Experience:- 2 Yrs. Designation:- Assistant Professor | |
Name:- Ms. Rimpi Upadhyay Education:- M.Tech Experience:- 2 Yrs. Designation:- Associate Professor | |
Name:- Mr. Mohd. Murshleen Education:- M. Tech. Experience:- 4.5 Yrs. Designation:- Assistant Professor Publications:- 11 | |
Name:- Mr. Gaurav Mittal Education:- M. Tech Experience:- 3 Yrs. Designation:- Assistant Professor Publications:- 03 | |
Name:- Mr. JAVED MOAZZAM Education:- Ph.D (P) Experience:- 8 Yrs. Designation:- Assistant Professor Publications:- 04 | |
Name:- Mrs. Neha Chauhan Education:- M.Tech Experience:- 10 Yrs. Designation:- Assistant Professor Publications:- 04 | |
Name:- Ms. Rashmi Mishra Education:- M. Tech Experience:- 5 Yrs. Designation:- Assistant Professor Publications:- 11 | |
Name:- Ms. Shuchi Jain Education:- M. Tech Experience:- 12 Yrs. Designation:- Assistant Professor | |
Name:- Mr. Kumar Yashpal Sinha Education:- M. Tech Experience:- 10 Yrs. Designation:- Assistant Professor | |
Name:- Mrs. Arti Goel Education:- MCA Experience:- 5 Yrs. Designation:- Assistant Professor | |
Name:- Mrs. Santawana Goel Education:- MCA Experience:- 4 Yrs. Designation:- Assistant Professor | |
Name:- Mr. Rakesh Kumar Education:- M. Tech. CSE, Ph.D (P) Experience:- 14 Yrs. Designation:- Assistant Professor Publications:- 7 | |
Name:- Mr. Santosh Kumar Joshi Education:- M. Tech. CSE, Experience:- 13 Yrs. Designation:- Assistant Professor |
- Society of Computer Science and Engineering.
- IEEE Student Chapter
- IEEE Computer Society
- Vibgyor and Victree
- Machine Learning Engineer: Design, develop, and implement machine learning models and algorithms for specific applications, such as image recognition, natural language processing, and recommendation systems.
- Data Scientist:Analyze large datasets to extract meaningful insights and trends, and use statistical and machine learning techniques to solve complex business problems.
- AI Research Scientist:Engage in cutting-edge research to advance the field of artificial intelligence, contributing to the development of new algorithms, models, and technologies.
- Computer Vision Engineer:Develop systems that enable computers to interpret and understand visual information, often used in applications like image and video analysis, object recognition, and augmented reality.
- Natural Language Processing (NLP) Engineer:Work on projects involving the development of algorithms and systems that understand, interpret, and generate human language, applied in areas like chatbots, language translation, and sentiment analysis.
- AI Software Developer:Develop software applications that leverage artificial intelligence and machine learning technologies, integrating them into existing systems or creating new intelligent solutions.
- AI Consultant:Advise businesses on how to implement and integrate AI solutions to improve efficiency, solve business challenges, and gain a competitive edge in their respective industries.
- Business Intelligence Analyst:Use data analysis and visualization tools to provide insights and support decision-making within organizations, often employing machine learning techniques for predictive analytics.
- Entrepreneur/Startup Founder: Start your own venture focusing on AI and ML applications, addressing specific industry needs or developing innovative solutions.