Vision:

Our institution strives to establish itself as a distinguished center of education, fostering an environment that embraces advanced technologies and innovative research. Our aim is to provide our students with unparalleled opportunities for personal growth and professional success on a global scale. We instill in our students the fundamental knowledge necessary for their chosen fields while also nurturing their entrepreneurial acumen, ethical values, and social consciousness.

Mission:

Our primary objective is to equip young computer engineers with high-quality technical education. This involves:

• Providing them with state-of-the-art laboratories and comprehensive analytical and core technical skills that meet international standards.
• Ensuring that our faculty members are highly qualified and experienced in their respective fields to provide students with the best possible education.
• Preparing students for global professional competitions and examinations for higher studies or employment opportunities in product-based companies.
• Instilling a competitive spirit in our students so they can excel on a global scale.
• Fostering a professional attitude among our students, including developing research aptitude, critical reasoning abilities, problem-solving skills, and the ability to provide technical consulting services using cutting-edge technologies.
• Ensuring that our graduates possess not just theoretical knowledge but also the practical expertise required by industry professionals.
• Emphasizing lifelong learning and encouraging entrepreneurial practices among our student community through holistic development by endorsing ethical values and emphasizing social concern.

As an institution committed to producing well-rounded individuals, we strive towards creating future leaders who can make significant contributions both professionally and personally.

Program Educational Objectives (PEOs)

• To adequately equip students for successful careers in the fields of Computer Science and Engineering, as well as prepare them to excel in competitive examinations for higher education and employment opportunities.
• To equip students with solid fundamentals in Computer Science and Engineering as well as Applied Mathematics & Sciences, fostering global competence.
• To cultivate a range of skills such as professional competence, social awareness, ethical conduct, effective communication abilities, and an entrepreneurial mindset.
• To create an educational setting for students majoring in Computer Science and Engineering, promoting academic advancement and encouraging lifelong learning.
• To develop students’ research abilities so they may take part in cutting-edge technology research projects, deal with real-world issues, and provide knowledgeable technical advice.

Program Outcomes (POs & PSOs)

Graduates of our program will demonstrate:

• Proficiency in the practical application of mathematical, scientific, and engineering concepts as well as a deep understanding of fundamental principles.
• Proficiency in identifying, formulating, and resolving engineering challenges.
• The capability to develop models, components, or processes that address specific requirements in the field of Artificial Intelligence and Machine Learning while considering practical limitations such as economic factors, environmental considerations, social implications, political circumstances, ethical concerns, health and safety issues, and manufacturability and sustainability aspects. This involves designing and modeling.
• Proficiency in designing and implementing real-time experiments, coupled with the ability to analyze data through Engineering Analysis Techniques.
• The ability to evaluate the societal, health, safety, legal, and cultural considerations associated with professional engineering practice, employing critical thinking that draws upon contextual knowledge.
• Understanding the effects of engineering solutions in a global, economic, environmental, and societal context.
• Collaboration skills across a variety of organizations.
• A solid understanding of engineering and management principles through teamwork on projects.

Short term Goals:

• To create advanced GPU cluster facilities in the Center for Artificial Intelligence and Machine Learning, using cutting-edge technology.
• To encourage faculty members to publish their research in reputable international journals indexed by Scopus, Web of Science, and UGC.
• To implement effective strategies to enhance the teaching and learning experience.
• To facilitate the arrangement of international conferences and workshops in partnership with renowned academic journals such as Springer, ACM, and IEEE.

Long Term Goals:

• To achieve self-sufficiency in research and consultancy, as well as to receive project funding from renowned institutions such as the UGC, DST, AICTE, or MHRD.
• To recognize and promote excellent performance in the domains of Artificial Intelligence and Machine Learning, alongside effective instruction.
• To conduct research activities and organize Ph.D. programs in the fields of artificial intelligence and machine learning.

Objectives of Artificial Intelligence Lab:

From the day of Dr. Robert Hecht-Nielsen, who first invented neuro computing, a lot of research is on in the area of Artificial Intelligence and Machine Learning. The demand for engineers and scientists with knowledge in Machine Learning and Artificial Intelligence is high. Machine Learning Engineer, Robotic Scientist, Data Scientist, Research Scientist, Business Intelligence Developer are certain job roles for students who excel in this field.

ACE Engineering College is in the forefront to start a Center of Excellence (AI& ML Lab). The lab is being established in the month of November, 2019 with inputs from Academia, eminent personalities in Industry, experienced experts of the field to give required confidence for the students who are undergoing this course and make them able to cater to the needs of the market.

The laboratory activities aim towards:

• Analyzing emerging avenues for research in the fields of Artificial Intelligence, Machine Learning, and Big Data analytics.
• Integrating and making logical connections with data from a variety of sources.
• Developing and executing distributed systems to facilitate information analysis, teamwork, and the decision-making process.
• Using data-intensive agent-based tools to impart valuable education and equip students and faculty with practical skills.
• Facilitating the establishment of collaborations with industry in relation to internships, summer employment opportunities, publications, and student placements.
• Developing, enhancing, and executing strategies to disseminate the idea among students and faculty members.
• Developing viable

Achievements of Center of AI & ML:

• The center has initiated with 5 NVIDIA 1060 GPUs with 60 Clients to cater the needs AI aspirants and stakeholders of Institute.
• Right form the Inception Center has guided around 62 students in IV B.Tech and 35 in III B.Tech CSE & ECE students.
• Center is collaborating with Leading India.ai an AICTE approved consortium in association with Bennett University in completion of a project titled” Windows malware Detection” using CNN techniques.
• Four students Secured Internship in Applied AI Corporation Pvt. Ltd., Hyderabad and two of them absorbed by Applied AI.
• 12 students have taken Machine Learning, a NPTEL course as a part of MOOCs supported by JNTUH in Lieu of the university open elective. All Successfully cleared with an average of 85%.

MOUs:

Objectives of Artificial Intelligence Lab:

• Providing them with state-of-the-art laboratories and comprehensive analytical and core technical skills that meet international standards.
• Ensuring that our faculty members are highly qualified and experienced in their respective fields to provide students with the best possible education.
• Preparing students for global professional competitions and examinations for higher studies or employment opportunities in product-based companies.
• Instilling a competitive spirit in our students so they can excel on a global scale.
• Fostering a professional attitude among our students, including developing research aptitude, critical reasoning abilities, problem-solving skills, and the ability to provide technical consulting services using cutting-edge technologies.
• Ensuring that our graduates possess not just theoretical knowledge but also the practical expertise required by industry professionals.
• Emphasizing lifelong learning and encouraging entrepreneurial practices among our student community through holistic development by endorsing ethical values and emphasizing social concern.

As an institution committed to producing well-rounded individuals, we strive towards creating future leaders who can make significant contributions both professionally and personally.

Natural Language Processing Lab::

Objective: To introduce students to the concepts and techniques of Natural Language Processing (NLP) and enable them to understand and implement various NLP tasks such as text preprocessing, sentiment analysis, named entity recognition, and machine translation. Through practical exercises and projects, students learn to apply NLP algorithms and tools to real-world text data for tasks like information retrieval, text classification, and text generation.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• Python
• Jupyter notebook
• NLTK (Natural Language Toolkit) library installed

Data Analytics Lab:

Objective: This lab aims to equip students with the necessary skills and tools for extracting insights from large datasets. Students learn to clean, transform, and analyze data using statistical and machine learning techniques. They also gain proficiency in data visualization to effectively communicate their findings. The objective is to prepare students for careers in data analysis, business intelligence, and data-driven decision-making.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• R Studio
• Python
• Jupyter notebook installed

Industrial Oriented Mini Project/Internship/Skill Development Course (DevOps):

Objective: The objective of this lab is to provide students with hands-on experience in DevOps practices, tools, and methodologies commonly used in industry settings. Students learn to streamline software development, testing, and deployment processes through continuous integration, continuous delivery, and infrastructure automation. The lab also emphasizes collaboration, version control, and agile methodologies to prepare students for roles in DevOps engineering and software development.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• GitHub
• Jenkins
• Docker
• Kubernetes
• Selenium installed

Database Management Systems Lab:

Objective:In this lab, students learn the fundamentals of Database Management Systems (DBMS) and gain practical experience in designing, implementing, and querying databases. The objective is to enable students to understand the importance of data organization, integrity, and security, and to prepare them for roles in database administration, database development, and data analysis.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• MySQL installed

Java Programming Lab

Objective: This lab focuses on mastering the Java programming language and its application in software development. Students learn to design and develop Java applications, understand principles of inheritance, polymorphism, encapsulation, and abstraction, and gain practical experience in GUI development using JavaFX or Swing

Hardware:

• 60 Computer systems with standard specifications.

Software:

• Java Development Kit (JDK) installed

Prolog/Lisp/Pyswip:

Objective: This lab aims to introduce students to logic programming languages such as Prolog and Lisp, and their applications in artificial intelligence (AI) and symbolic computation. The lab also covers integration of Prolog with Python using the Pyswip library, enabling students to leverage logic programming in Python-based applications.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• LISP
• Prolog compilers
• Jupyter notebook installed

Data Structures Lab using C:

Objective: This lab focuses on strengthening students’ understanding and implementation of fundamental data structures and algorithms using the C programming language. Through programming assignments and lab exercises, students develop problem-solving skills and gain insights into algorithmic complexities, preparing them for advanced courses in algorithms and data structures.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• C compiler installed

Operating Systems Lab:

Objective: The objective of this lab is to provide students with hands-on experience in understanding the concepts and functionalities of operating systems. Through programming assignments and system-level projects, students gain practical insights into operating system design and implementation, preparing them for roles in systems programming and software development.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• C compiler installed

Node JS/React JS/Django:

Objective: This lab aims to familiarize students with modern web development frameworks and technologies such as Node.js, React.js, and Django. The lab emphasizes building scalable and maintainable web applications, leveraging JavaScript and Python ecosystems, and understanding concepts like MVC architecture, routing, middleware, and database integration.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• MySQL
• Python
• React.js/Node.js
• JDK installed

Software Engineering Lab:

Objective: This lab focuses on providing students with practical experience in software engineering principles and practices. The objective is to enable students to work effectively in software development teams, understand the software development life cycle, and deliver high-quality software products.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• Star UML installed

Computer Network Lab:

Objective: The objective of this lab is to provide students with practical experience in understanding and configuring computer networks. The lab covers topics such as network topology design, IP addressing, routing, switching, network security, and network simulation using tools like Wireshark and NS2 simulator.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• C Compiler
• Nmap
• Wireshark
• NS2 simulator installed

Machine Learning Lab:

Objective: This lab aims to familiarize students with machine learning algorithms and techniques for data analysis and prediction. The lab emphasizes practical applications of machine learning in areas such as image recognition, natural language processing, and predictive modeling.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• Any Python (IDE) software installed

UI Design – Flutter:

Objective:This lab focuses on providing students with practical skills in designing user interfaces for mobile applications using the Flutter framework. The lab covers topics such as UI design principles, responsive design, state management, and navigation, preparing students for careers in mobile app development and user experience design.

Hardware:

• 60 Computer systems with standard specifications.

Software:

• Android Studio
• Flutter installed

NPTEL LIST

Faculty Contributions:

• Dr.G.Sreenivasulu certified in Data Science for Engineers course, a NPTEL course as a part of MOOCs supported by AICTE and MHRD to guide the students in machine learning and AI related projects.
• Dr.Ganti Krishna Sharma certified in Machine Learning a NPTEL course as a part of MOOCs supported by AICTE and MHRD to train the students
• Mr.YounusShariff, Mr. Shashank Tiwari Certified in Joy of Computing Python a NPTEL course as a part of MOOCs supported by AICTE and MHRD to train the students in Python Programming.(Which is a backbone of AI & ML).
• Ms.LakshmiRohita, Assistant professor of CSE attended a two week faculty Development Program on “Machine and Deep Learning” at VBIT, Hyderabad from 25th Nov to 07th Dec, 2019.
• Majority of the faculty members across all the department working collectively in strengthening the center for AI & ML.
• 3 faculty members ( Dr.G.Sreenivasulu , V.Maheswara Reddy and Mr.Shashank Tiwari) from CSE were certified in AI and Deep learning and also from NVIDIA Deep Learning Institute, USA.

Workshops and Faculty Development Programs:

• Conducted One week faculty development program on “Machine and Deep Learning” organized in association with “Leading India.ai and Bennett University during Nov, 2018.
• Conducting One week faculty development program on “Data Science” Sponsored by AICTE-New Delhi as a part of STTP.(16th to 22nd Dec, 2019).
• Conducted one day workshop on “Artificial Intelligence” for III B.Tech CSE & ECE students, In association with TASK, Hyderabad.

Syllabus

II Year Course Material

UNIT-I

UNIT-2 (Part 1 & 2)

UNIT-2 (Part 3)

UNIT-3 (Part 1)

UNIT-3 (Part 2 & 3)

UNIT-4 & UNIT-5

JAVA

Introduction to Artificial Intelligence

UNIT – I

UNIT – II

UNIT – III

UNIT-I

UNIT-2

UNIT-3 (Part 1)

UNIT-3 (Part 2)

UNIT-4

UNIT-5

UNIT – II

UNIT – III

III Year Course Material

Artificial Intelligence

NLP Lecture Notes CSM

FIOT

DevOps notes

UNIT-I

UNIT-II

UNIT-III

UNIT-V

UNIT-IV

IV Year Course Material

NCSE

UNIT-I

UNIT-II

UNIT-III

UNIT-IV

TechTrove 2K24
(6th May 2024)

A 2 – Day Workshop On
User Interface & User Experience (UI/UX)
(4th and 5th December 2023)

Orientation Program 2023
(19th August 2023)

The Orientation Day for the I B.Tech batch with a focus on trending branches, specifically Computer Science and Engineering with a specialization in Artificial Intelligence and Machine Learning (CSE-AIML), was organized to provide incoming students with a comprehensive understanding of the program, its significance in the modern world, and the potential career opportunities it offers. The event aimed to introduce students to the field of CSE-AIML, outline the curriculum, and highlight the resources available to them throughout their academic journey.

OUTREACH PROGRAM TO NRSC
(7th & 14th June 2023)

Students from the department of AIML had the opportunity to visit the ‘National Remote Sensing Centre’ in Jeedimetla, Hyderabad on 7th & 14th June 2023. The center is an outreach facility to provide training for professionals, professors and students for general awareness in space research. Students were given the chance to attend a lecture from one of the facility members, courtesy of the facility. Topics like the different launch vehicles since the beginning of ISRO, manufacturing process of the different stages of Rockets and Satellite vehicles, Satellite Communications and Remote Sensing and its various applications were discussed. The speaker interacted with the students and gave insights on how students pursuing Engineering in Artificial Intelligence and Machine Learning can further become a significant contributor in the field of space technology and research. Students were also briefed on previous and future ISRO space missions like the Chadrayaan-3. The group was provided time to examine some exhibits of model rockets, satellites, launch vehicles, and poster maps. A demonstration of live data analysis from the NSRC at Shadnagar was shown as an example of how remote sensing works. In conclusion, this was an informative and insightful visit, making people aware of opportunities beyond the curriculum.

Data Visualization workshop
(8th-10th June 2023)

Department of Artificial Intelligence and Machine Learning organized A 3-Day workshop on ‘Data Visualization Techniques using Tableau’ from 8th-10th June 2023. The workshop was facilitated by Dr. Sandeep, a Tableau certified trainer. Approximately 100 students attended the program. Students were introduced to the basics of Tableau, the different ways of visualizing and analyzing the data using various graphs, graphs and other features of the software. The workshop was structured around interactive sessions, hands-on experiences, and live implementation of everything taught by the mentor. The experience of this session was an excellent learning opportunity overall. This is a thoughtful initiative undertaken by the head of the department, Dr.G.Sreenivasulu

MCARTI TECHNICAL CLUB INAUGURATION

The Inauguration of the ‘McArti’ Technical Club’ was held on Saturday, 24th June 2023, at Ramaiah Auditorium. The event began with a keynote speech by the Director, Mr. B.L. Raju. The inauguration’s tone was set by his inspiring words, which emphasize the significance of Artificial and Natural Intelligence in our lives. It was followed by the lighting of a ceremony lamp by all the faculties and dignitaries present at the event.

Dr. G. Sreenivasulu, the department head, introduced to the room the names and Heads and Members of the club. As part of the inauguration program, a detailed overview of the McArti Technical club was presented by The President, Lakshmi Priya and the Vice president Sai Rajeshwar of the club to showcase the club’s vision and mission and the benefits of taking part in its various activities. The Director of Technologies Mr. Younus Shareef and the Director of Placements Prof. T Srinivasa Rao attended the event to express their support for the club. They reached out to the crowd and shared valuable perspectives with the students.

P. Shravya Reddy presented on “Fundamental Principles of Artificial Intelligence and Machine Learning”, followed by S. Satya Kanth presenting on “Full Stack Web Development”.

MCARTI MEMBERS:

President– Ms.Laxmi Priya 3^rd year
Vice President– Rajeshwar 2^nd year
Treasurer-Bharath-2^nd year
Secretary-HarshaVardhan-2^nd year
Executive Members:

1. Karthik-3^rd year
2. Sravya-3^rd year
3. Satyakanth- 2^nd year
4. Karthik-2^nd Year

Faculty Co-ordinator

Satya Sudha, Assistant Professor,

Club Advisory Members:

Dr.G. Sreenivasulu,                                          Dr.P.Srilatha                                          Mrs.P.Rajeshwari
Head, Associate Professor                           Associate Professor                               Associate Professor

List of Paper Publications

Research Publications :

1. Mr. Banothu Mohan , Dr. Kavitha Soppari, “Enhancing ECG-Based Biometric Authentication using High-Quality Training Data and Novel Measurement Metrics for Improved Accuracy” International Journal of Advanced Research in Science, Communication and Technology (IJARSCT) Volume 3, Issue 1, July 2023, DOI: 10.48175/IJARSCT-12065
2. Kavitha Soppari , K. Chinmayi, G. Srikanth, K. Bhavani Reddy and CH Ramanavasu, “ Prediction of COVID-19 based on machine learning using cartographic variables” , International Journal of Science and Research Archive, 2023, 09(02), 163–170 DOI: https://doi.org/10.30574/ijsra.2023.9.2.0511
3. Mrs. Soppari Kavitha1, B. Bindu Latha, K.L. Bhavya, M.Prashanth, N.Sainath, “Exploring The Contents Of Old Newspapers Using An Augmented Reality Application” International Journal of Engineering Technology and Management Sciences Issue: 3 Volume No.7 May – June – 2023 DOI:10.46647/ijetms.2023.v07i03.123 ISSN: 2581-4621
4. Mrs. Soppari. Kavitha, T Sri Vinay , G Sai Teja , P H Rohith, “Dynamically selected watermark insertion using machine learning” World Journal of Advanced Research and Reviews, 2023, 18(03), 577–584. DOI: https://doi.org/10.30574/wjarr.2023.18.3.1078
5. Mrs. Soppari Kavitha , sugala stuthi , Yalamandala jahnavi , “Survey on Brain Tumor classification and Detection using MRI scan Images” IJIEMR Vol12 Issue 01, Jan 2023. DOI: 10.48047/IJIEMR/V12/ISSUE 01/80

Patents :

1. Dr.G.Sreenivasulu et., filed a patent on “Design and Development of fault diagnosis by using Fuzzy neural networks for Hydroponic systems”. Application no: 201941048257 at Controller general of patents , Designs and Trademarks , Govt. of India.
2. Dr.G.Sreenivasulu proposing a patent on ”Malaria Detection using Convolution Neural Networks” at Controller general of patents , Designs and Trademarks , Govt. of India. (Application number awaited)
3. Dr.G.Sreenivasulu proposing a patent on ”An Efficient approach for clustering categorical data ” at Controller general of patents , Designs and Trademarks , Govt. of India. (Application number awaited)
4. Dr.G.Sreenivasulu proposing a patent on ”Text summarization using Deep learning techniques ” at Controller general of patents , Designs and Trademarks , Govt. of India. (Drafting completed and about to file).

Achievements:

1. Dr. Kavitha Soppari received NPTEL DISCIPLINE STAR April 2023.
2. Dr. Kavitha Soppari received an Elite certification in “Cloud Computing” from NPTEL in April 2023..