About the Department

The field of artificial intelligence encompasses the study and advancement of computer systems that possess the capability to replicate human-like cognitive abilities such as visual perception, speech recognition, decision-making, translation, and interpretation.

The application of machine learning is a systematic approach to analyzing data that enables the automated construction of analytical models. The global adoption of artificial intelligence and machine learning (AI & ML) continues to expand as organizations recognize its value in facilitating business transformation. In their pursuit of agility, resilience, innovation, and scalability within their business transformation efforts, organizations around the world are increasingly incorporating artificial intelligence and machine learning (AI & ML) methodologies.

In light of the aforementioned context, ACE Engineering College presents a comprehensive and robust four-year undergraduate program in B.Tech AI & ML with a current intake of 60 students. This program aims to establish a strong educational foundation by incorporating fundamental principles and cutting-edge technologies associated with various domains of Artificial Intelligence. By immersing students in these principles and cutting-edge technologies, we prepare them for an advanced understanding of this field.
Through the comprehensive curriculum offered, students will develop the proficiency to create sophisticated solutions for a diverse array of intricate challenges across various industries and contexts.Furthermore, they will have the opportunity to explore newly emerging areas such as neural networks, natural language processing, robotics, deep learning, computer vision, logical reasoning methods, alongside innovative problem-solving techniques. This multifaceted approach equips students with in-depth knowledge and understanding of complex challenges in today’s ever-evolving technological landscape.

This program is designed for students aiming to acquire in-depth knowledge and proficiency in Artificial Intelligence, Machine Learning, and other emerging technologies. By developing expertise in these fields that demonstrate significant potential, individuals can differentiate themselves and enhance their professional trajectory within the dynamic technological landscape.

Salient Features:

  • Regular academics of technical and technological skills blended to develop students as global professionals.
  • Faculty team comprises people with proven track record in their own domains of engineering education covering such diverse areas as Artificial Intelligence, Machine learning, Deep Learning, Full stack web development, and Data Analytics, in addition to the ever expanding core areas of Computer Networks, Operating Systems, Computer Organization, Database Management systems, Algorithms Design etc., well balanced by the programming skills of different paradigms that are essential for the Machine learning Engineers.
  • Highly proactive department in its responsibility for the Industry-Institution- Interaction by organizing expert lectures at regular intervals with the experienced and expert practitioners from the industry.
  • Center for Artificial Intelligence and Machine Learning with 14 GPU Processors for both academic & research work.
  • Mentoring for personality development, social skills like communication and behavioral skills, ethical skills like adherence to well-mannered conduct in a group.
  • Counselling sessions are additional but necessary skills are expected to help students evolve into engineers who are highly motivated with practical, creative, and management skills that would go a long way in scripting their careers as both employees as well as employers.
  • Plan Schedule and Conduct add-on courses and programs that are helpful for the student to pursue their career in a right path.
  • Having Institutional membership of Computer Society of India.

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.

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.

Objectives of Artificial Intelligence Lab:

Since the inception of neuro computing by Dr. Robert Hecht-Nielsen, extensive research has been conducted in the realm of Artificial Intelligence and Machine Learning. The demand for individuals well-versed in these disciplines, such as Machine Learning Engineers, Robotic Scientists, Data Scientists, Research Scientists, and Business Intelligence Developers, is consistently high.

Recognizing this need and aiming to provide students with ample opportunities to excel in this field, ACE Engineering College is taking a proactive approach by establishing an AI & ML Lab Center of Excellence. This initiative involves collaboration with esteemed figures from academia and industry who are experienced experts within the field. Its primary goal is to instill confidence among students enrolled in relevant courses while equipping them with the necessary skills that align with market demands.

The laboratory activities are aimed at:

  • Analyzing emerging avenues for research in the fields of Artificial Intelligence, Machine Learning, and Cloud Computing.
  • 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.

Name of the Programme

AI & ML

Approved Intake (2023) 60
No. of Faculty Members 23

Cadre

Number

Professor 02
Assoc. Professor 05
Asst. Professor 16
Faculty Profile

Qualification

No. of Faculty

Ph.D 04
Ph.D (Pursuing) 04
M.Tech/M.E 15
Technical Staff Programmers 01
k.prem kumar-c
Name   Dr. K. Prem Kumar
Designation Associate Professor & HOD
Qualification B.Tech(CSE), M.Tech(CS), Ph.D(CSE)
Professional Exp. 15 Years
Research Interests Cloud Computing
Registration Number 98150407-183742
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Name   Dr. B. Ranga Swamy
Designation Professor
Qualification Ph.D (CSE)
Professional Exp. 20 Years
Research Interests Theory of Computation, AI, Block Chain
Registration Number 2448-150408-160802
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m ramesh
Name   Mr. M Ramesh
Designation Associate Professor
Qualification M.Tech
Professional Exp. 12 Years
Research Interests Wireless Sensor Networks
Registration Number 2955-150409-130058
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Ms. S. Satya Sudha
Name   Ms. S. Satya Sudha
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 06 Years
Research Interests Data Science, Machine Learning
Registration Number 5006-170131-204259
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Name   Dr. Vancha Maheshwar Reddy
Designation Associate Professor
Qualification Ph.D
Professional Exp. 14 Years
Research Interests Network Security
Registration Number 38150407-100552
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B.SREELATHA
Name   Mr. Shashank Tiwari
Designation Assistant Professor
Qualification M.Tech
Experiance 5 Years
Research Interests Machine Learning
Registration Number 4617-161115-124220
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B.SREELATHA
Name   Mrs. B. Sreelatha
Designation Assistant Professor
Qualification M.TECH
Professional Exp. 3 Years
Research Interests Cyber Security
Registration Number 0934-170103-132946
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Ayesha-Osmani
Name   Mrs. Ayesha Osmani
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 2 Years
Research Interests Cyber Security
Registration Number 8686-210701-155006
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G. Monika
Name   Mrs. Gyra Monika
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 10 Months
Research Interests Cyber Security, Machine Learning
Registration Number 5814-171227-123515
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G. Monika
Name   Mr. Viomesh Singh
Designation Assistant Professor
Qualification M.Tech., (Ph.D)
Professional Exp. 9+ Years
Research Interests Recommendation System, Machine Learning, Deep Learning
Registration Number 3994-190826-143204
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priya CSE
Name   Mr. Lalbahadur Kethavath
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 10 Years
Research Interests Cloud Computing , Internet of Things
Registration Number
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G. Monika
Name   Ms. Ananthoji Veena Sri
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 10 Months
Research Interests Machine learning
Registration Number 8271-220509-151745
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Name   Mr. Devankit Mishra
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 2+ Years
Research Interests Web Stack Development, Machine Learning, Networking
Registration Number 1209-220416-130459
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Name   Mrs. M.P. Nisha
Designation Assistant Professor
Qualification M.Tech (CS&E)
Professional Exp. 6 Years
Research Interests Machine Learning
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Name   Mr. Chitoor Venkat Rao Ajay Kumar
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 4 Years
Research Interests Artificial Intelligence & security
Registration Number 0191-170112-094836
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Name   Mr. Chandrachuda Mohanty
Designation Assistant Professor
Qualification M.Tech (CSE)
Professional Exp. 13.5 Years
Research Interests Data Science and AI, Computer Network
Registration Number
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Name   Mrs. P.Rajeshwari
Designation Associate Professor
Qualification M.Tech., (Ph.D)
Professional Exp. 17 Years
Research Interests Machine Learning, Deep Learning, Parallel Computing
Registration Number 3313-160305-205712
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Name   Mr. Somagani Venkatesh
Designation Assistant Professor
Qualification M.Tech (CSE)
Professional Exp. 7 Years
Research Interests
Registration Number 2316-150428-040056
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Name   Mrs. Yerpula Vanitha
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 5 Years (System Analyst)
7 Months (Assistant Professor)
Research Interests Database Management System, Cyber Security
Registration Number
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Name   Mrs. R. SURUTHI SUTHARSANA
Designation Assistant Professor
Qualification M.E
Professional Exp. 2.8 Years
Research Interests Adhoc Network, Machine Learning
Registration Number
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Name   Mrs. K.Swetha Sailaja
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 11 Years
Research Interests Artificial Intelligence, Data Mining
Registration Number
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Name   Mr. K.Shiva Kumar
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 4 Years
Research Interests Cyber security, machine learning
Registration Number
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Name   Mr. Kumar Baradur
Designation Assistant Professor
Qualification B.E. M.Tech
Professional Exp. 8 Years
Research Interests Image processing
Registration Number
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Name   Ms. B.Divya Jyothi
Designation Assistant Professor
Qualification M.Tech
Professional Exp. 4 Years
Research Interests Machine Learning
Registration Number 1968-171227-113706
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Power Grid Corporation of India as a part of Vigilence awareness week-2023 conducted Elocution competition on 03-11-2023, two of our AI & ML Department students got First Prize and Third Prize