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DEPARTMENT OF CSE (Artificial Intelligence)

Overview

ABOUT DEPARTMENT

The Department of Computer Science and Engineering (Artificial Intelligence) was established in the year 2022 with an intake of 60. It has great potential with well qualified and committed teaching & non-teaching faculty members, headed by Dr. TELKAPALLI MURALI KRISHNA, the department has been part of various professional bodies like CSI, IUCEE, etc

Head of the Department:

Dr. TELKAPALLI MURALI KRISHNA
Associate Professor & Head

Telkapalli Murali Krishna, completed Post Graduation in Master of Computer Applications (MCA) from Osmania University, Hyderabad, in the year 1998 in first division with distinction. Post Graduate in Master of Philosophy in Computer Science (M.Phil) from Madurai Kamaraj University, Madurai in the year 2006. Post Graduate in Master of Technology in Computer Science and Engineering (M.Tech) from Acharya Nagarjuna University, Guntur in the year 2010.

Started the research career from January, 2019 at Bharath Institute of Higher Education and Research, Chennai in the field of “Software Defect Prediction using Neuro Evolution Approach based on Artificial Neural Networks “ in the domain of Machine Learning and Software Testing. Published research work in various Journals in which 5 are in Scopus Indexed, 1 Web of Science and others are in under Non-Scopus Journals. Attended International Conferences (4), National Conferences (5), webinars (10), FDPs (15) and successfully completed 5 NPTEL courses. Got the PhD degree in Computer Science and Engineering in 2023. Dr. T.Murali Krishna is having more than 24 years of experience in teaching / research. Research Areas of Interest are Artificial Intelligence, Machine Learning, Deep Learning, Software Testing and Data Science.

Vision&Mission

Vision

To become a Centre of Excellence in Computer Science and Engineering by imparting High Quality Education through Teaching, Training and Research.

Mission

M1: Facilitate learning in advanced technologies with the use of innovative methods and to be adaptable to shift socio-economic and environmental conditions with a well-equipped infrastructure.

M2: Provide strong theoretical and practical background across the computer science discipline with the emphasis on software development.

M3: Impart moral, ethical values and interpersonal skills.

M4: Pursue the acquisition of knowledge, develop technologies, transform education, engage with academic and research institutions, cultivate ties with alumni, and Industry.

PEO/PO/PSO 's

Program Educational Objectives (PEO’s):

PEO’s	Description
PEO1	Develop professional skills necessary for immediate employment and subsequent studies in advance areas of computer science and related fields.
PEO2	Establish as competent professionals by solving real-world problems using computer science knowledge and focusing on teamwork, effective communication, critical thinking, and problem solving.
PEO3	Demonstrate the ability to adapt to a rapidly evolving world in computer science, grow in the field through lifelong learning, and embrace the professional code of ethics while consciously contributing to society without undermining the ecological balance.

Program Outcomes (PO’s):

PO’s	PO Name	Description
PO1	Engineering Knowledge:	Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
PO2	Problem Analysis:	Identify, 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 Solutions:	Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the 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 modelling 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 Team Work:	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 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.

Program Specific Outcomes (PSO’s):

PSO’s	Description
PSO1	Accomplish the ability to design, develop and implement computer programs and use knowledge in various domains.
PSO2	Ability to get employment in different environments related to software industry.

Curriculum

Academic Regulations & Syllabus

S.No.	Course	Regulation	Rules & Regulations	Syllabus
1	B.Tech	R23	View	View
2	B.Tech	R20	View	View

Faculty List

Teaching Staff Details

	Name of the Faculty	Dr T Murali Krishna
	Designation	Associate Professor & Head
	Qualifications	M.Tech, Ph.D
	Research Interest	Machine Learning, Software Testing
	Google Scholar	Verify Here

	Name of the faculty	Dr D William Albert
	Designation	Professor
	Qualifications	M.Tech, Ph.D
	Research Interest	Software Engineering
	Google Scholar

	Name of the faculty	Dr Syed Shoeb Peer
	Designation	Professor
	Qualifications	M.Tech, Ph.D
	Research Interest	Software Engineering
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	Name of the faculty	Dr M Venkateswarlu
	Designation	Professor
	Qualifications	M.Tech, Ph.D
	Research Interest	Software Engineering
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	Name of the faculty	Dr. T Aditya Sai Srinivas
	Designation	Associate Professor
	Qualifications	M.Tech, Ph.D
	Research Interest	Software Engineering
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	Name of the faculty	Mr. K Kishore
	Designation	Assistant Professor
	Qualifications	M.Tech, (Ph.D)
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Mr. Md Asim
	Designation	Assistant Professor
	Qualifications	M.Tech, (Ph.D)
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Ms. D Wasiha Tasneem
	Designation	Assistant Professor
	Qualifications	M.Tech, (Ph.D)
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Mr. J Mohan Kumar
	Designation	Assistant Professor
	Qualifications	M.Tech, (Ph.D)
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Mr. C Maddilety
	Designation	Assistant Professor
	Qualifications	M.Tech, (Ph.D)
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Mrs. V Sujatha
	Designation	Assistant Professor
	Qualifications	M.Tech, (Ph.D)
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Mr. R Anil Kumar
	Designation	Assistant Professor
	Qualifications	M.Tech
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Mr. C Ishaq Shareef
	Designation	Assistant Professor
	Qualifications	M.Tech
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Mr. A David Donald
	Designation	Assistant Professor
	Qualifications	M.Tech, (Ph.D)
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Mrs. A Hari Priya
	Designation	Assistant Professor
	Qualifications	M.Tech
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Ms. K Rekha
	Designation	Assistant Professor
	Qualifications	M.Tech
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Mrs. D Lakshmi Renuka Devi
	Designation	Assistant Professor
	Qualifications	M.Tech
	Research Interest	Machine Learning, Data Science
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	Name of the faculty	Mr. S Mohammed Moinuddin
	Designation	Assistant Professor
	Qualifications	M.Tech
	Research Interest	Machine Learning, Data Science
	Google Scholar

Infrastructure

LAB DETAILS

S. No	Name of the Laboratory	Description	Lab Photo
1	Programming Lab	Equipped with DELL latest configured DESKTOP PC’s with licensed software that enables the students to program in C language. It covers various concepts of C programming language, searching and sorting algorithms, stacks and queues. It gives Ability to develop C programs for computing and real-life applications using basic elements like control statements, arrays, functions, pointers and strings, and data structures like stacks, queues and linked lists.
2	Operating Systems and DBMS Lab	This lab provides knowledge on data pre-processing, Classification, clustering and Association rule extraction. It deals with the various types of attributes. Accuracy is compared by using different algorithms. Visualization is also displayed for the given data mining functionality.
3	Cloud Computing and Web Technologies Lab	Lab is equipped with DELL Intel Core i3 7th Gen Systems installed with Ubuntu that supports Open Source Tools for web designing and Socket Programming. The systems are also installed with PHP, WEKA, R and domain related application software to facilitate the students in completing Preliminary works.
4	DWDM and MAD Lab	Equipped with latest configured systems that enables the students to model systems using Rational Rose and to build Data warehouses using Informatics. The systems are loaded with required software to practice regular lab sessions and for database related projects..
5	ELCS LAB	The main aim of this lab is to improve Communication Skills in formal and informal situations. It is also to impart training to students through the syllabus in its theoretical aspects and practical components. The lab is equipped with Advanced Systems which has high quality audio & video capabilities.
6	Projects Lab	The lab is equipped with HCL Core2Duo Desktop PC’s and application Software. This lab is utilized by Students for their project works and also to support ongoing industrial technicalities..

Achievements

Department Level

S.No	Achievement	Report
1		View
2		View
3		View

Faculty Level

S.No	Achievement	Report
1		View
2		View
3		View

Student Level

S.No	Achievement	Report
1		View
2		View
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MoU's

No. of Functional MoU's

Academic Year	2022-23	2021-22	2020-21	2019-20	2018-19
MoU's

List of MoU's

S.No.	Name of the Institution/ Industry/ Corporate House	Date of Signing	View
1	ExcelR Solutions	24-02-2022	View
2	Greenvion Energy Technologies	08-03-2022	View
3	HIEE Empowering Engineers Pvt. Ltd.	08-03-2022	View
4	Kirloskar Institute of Advanced Management Studies	08-03-2022	View
5	Smart Nuts & Bolts	15-12-2021	View
6	Unacademy	04-03-2022	View
7	APSSDC - CM’s Skill Excellence Centre	01-01-2018	View