Department of Electronics and Communication Engineering
The Department thrives on innovation, offering quality education
and hands-on learning in electronics.
Overview
The department offers a B.Tech program with 120 seats, focusing on quality education and research. It features advanced labs and encourages students to engage in innovative in-house projects.
Vision of Department
To achieve academic and research excellence in Electronics and Communication Engineering by imparting multidisciplinary skills that prepare students to meet industry needs, achieve career goals and contribute to society.
Mission of Department
To build a strong foundation in Electronics and Communication Engineering with a focus on practical skills, problem-solving and technical knowledge.
To promote a student-centric ecosystem that promotes innovation, multi-disciplinary learning, and collaborative research in emerging technologies.
To nurture socially responsible engineers by encouraging sustainable practices, ethical values, and active engagement with industry and community.
Program Educational
Objectives (PEOs)
To exhibit strong team collaboration and professional competence in both IT and core electronic sectors.
To excel in higher education and research with strong technical knowledge, critical thinking, and innovative skills in emerging technologies.
To address society needs through multidisciplinary engineering projects approach.
Program Specific Outcome Statements (PSOs)
Apply the knowledge of domain skills in the design and development of electronic circuits, VLSI, signal processing and embedded systems
Demonstrate the competency in solving the practical problems using advanced communication systems that contribute towards societal needs
Program Outcomes
Apply knowledge of mathematics, natural science, computing, engineering fundamentals and an engineering specialization as specified in WK1 to WK4 respectively to develop to the solution of complex engineering problems.
Identify, formulate, review research literature and analyze complex engineering problems reaching substantiated conclusions with consideration for sustainable development. (WK1 to WK4)
Design creative solutions for complex engineering problems and design/develop systems/components/processes to meet identified needs with consideration for the public health and safety, whole-life cost, net zero carbon, culture, society and environment as required. (WK5)
Conduct investigations of complex engineering problems using research-based knowledge including design of experiments, modelling, analysis & interpretation of data to provide valid conclusions. (WK8).
Create, select and apply appropriate techniques, resources and modern engineering & IT tools, including prediction and modelling recognizing their limitations to solve complex engineering problems. (WK2 and WK6)
Analyze and evaluate societal and environmental aspects while solving complex engineering problems for its impact on sustainability with reference to economy, health, safety, legal framework, culture and environment. (WK1, WK5, and WK7).
Understand the impact of the professional engineering solutions insocietal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
Apply ethical principles and commit to professional ethics, human values, diversity and inclusion; adhere to national & international laws. (WK9)
Function effectively as an individual, and as a member or leader in diverse/multi-disciplinary teams.
Communicate effectively and inclusively within the engineering community and society at large, such as being able to comprehend and write effective reports and design documentation, make effective presentations considering cultural, language, and learning differences
Recognize the need for, and have the preparation and ability for i) independent and life-long learning ii) adaptability to new and emerging technologies and iii) critical thinking in the broadest context of technological change. (WK8)
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.
Knowledge and Attitude Profile (WK)
A systematic, theory-based understanding of the natural sciences applicable to the discipline and awareness of relevant social sciences.
Conceptually-based mathematics, numerical analysis, data analysis, statistics and formal aspects of computer and information science to support detailed analysis and modelling applicable to the discipline.
A systematic, theory-based formulation of engineering fundamentals required in the engineering discipline.
Engineering specialist knowledge that provides theoretical frameworks and bodies of knowledge for the accepted practice areas in the engineering discipline; much is at the forefront of the discipline.
Knowledge, including efficient resource use, environmental impacts, whole-life cost, re-use of resources, net zero carbon, and similar concepts, that supports engineering design and operations in a practice area.
Knowledge of engineering practice (technology) in the practice areas in the engineering discipline.
Knowledge of the role of engineering in society and identified issues in engineering practice in the discipline, such as the professional responsibility of an engineer to public safety and sustainable development.
Engagement with selected knowledge in the current research literature of the discipline, awareness of the power of critical thinking and creative approaches to evaluate emerging issues.
Ethics, inclusive behavior and conduct. Knowledge of professional ethics, responsibilities, and norms of engineering practice. Awareness of the need for diversity by reason of ethnicity, gender, age, physical ability etc. with mutual understanding and respect, and of inclusive attitudes.
Our Faculty
Dr. Bhogadi Lokeswara Rao (Ph.D.)
30 Years ExperienceProfessor
Microwave and Radar
Dr. Suggubodi Venkateswarlu Devika (Ph.D.)
18 Years ExperienceProfessor
Communication Engineering
Dr. Kasarla Satish Reddy (Ph.D.)
30 Years ExperienceAssociate Professor
VLSI
Dr. Rajeshwar Goud Jangampally (Ph.D.)
17 Years ExperienceAssociate Professor
Communication Engineering
Dr. Kalasapati Bindu Madhavi (Ph.D.)
18 Years ExperienceAssociate Professor
VLSI
Dr. Gottam Omprakash (Ph.D.)
3 Years ExperienceAssistant Professor
Signal Processing
Mr. Pokala Santhosh (M. Tech.)
16 Years ExperienceAssistant Professor
Mr. Punati Kondala Rao (M. Tech.)
13 Years ExperienceAssistant Professor
Mrs. Velicharla Moshe Rani (M. Tech.)
11 Years ExperienceAssistant Professor
Mrs. Chatragadda Shanthi Priya (M. Tech.)
7 Years ExperienceAssistant Professor
Mrs. Vallabhapurapu Tejaswi (M. Tech.)
8 Years ExperienceAssistant Professor
Mr. Pengerla Naga Venkata Naveen Kumar (M. Tech.)
2 Years ExperienceAssistant Professor
Mr. Tunga Venkanna Babu (M. Tech.)
8 Years ExperienceAssistant Professor
Dr. Thirumuru Ramakrishna (P.h.D.)
28 Years ExperienceProfessor
Signal Processing
Labs
| Name of the Laboratory | No. of Students per setup | Weekly utilization status (all the courses for which the lab is utilized | Technical Manpower Support | |||
| Sl. No. | (Batch Size) | Name of the major Equipment | Name of the Technical Staff | Designation | ||
| Communication & Microwave Engineering Lab | 4 | · Cathode Ray Oscilloscope | 18 | Mrs. D.Abjeena | Lab Instructor | |
| · Function Generator | ||||||
| · Regulator Power Supply | ||||||
| 1 | · Trainer Kit | |||||
| · Spectrum analyzer | ||||||
| · Microwave bench set up | ||||||
| · Gunn diode bench set up | ||||||
| 2 | Analog and Digital Electronics Lab | 4 | · Cathode Ray Oscilloscope | 20 | Mr.K.Akhil | Lab Instructor |
| · Function Generator | ||||||
| · Regulator power supply | ||||||
| · Trainer Kit | ||||||
| · Stabilizer | ||||||
| Embedded Systems lab | 1 | · MASM software | 18 | Ms.Ch.Pranathi | Lab Instructor | |
| · 8051 | ||||||
| 3 | · Microcontrollers | |||||
| · MSP 430 Microcontrollers | ||||||
| · Interfacing Kits | ||||||
| · Keil Micro vision software | ||||||
| 4 | Doing Engineering-Lab | 1 | · Arduino Boards | 18 | Ms.P. Vishupriya | Lab Instructor |
| · Arduino IDE | ||||||
| · Software | ||||||
| · Sensors | ||||||
| · Dc Motor | ||||||
| · Esp 32 | ||||||
| · Raspberry pi 3b+ | ||||||
| 5 | Signal Processing Lab | 1 | · Octave 9.3 | 20 | Mr.K.Sunil | Lab Instructor |
| · Systems | ||||||
| · Xilinx |
