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Department of AI/ML Engineering

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Department of AI/ML Engineering

The Department of AI/ML Engineering was established in the year 2021 with a vision to apply AI/ML Skill at various levels like IT knowledge, managerial skills and technical advancements and hence to address the demanding needs of IT industries and R&D sectors. The department is affiliated to Visvesvaraya Technological University (VTU). The Department offers a four years Bachelor degree programme. The Bachelor's programme will help our students for their productive careers in industry, academia, research and government sectors. The Bachelor program of AI/ML will help to utilize the concept of Artificial Intelligence and Machine learning,deep learning in innovative research areas such as Defence Sector, Data science, Pattern Recognition, Image Processing, Data Mining, Database Systems, Network Security, Mobile Communication, Bioinformatics, Parallel Processing, Cloud Computing, Big Data, Hadoop,Block chaining, DevOps and other related areas. To strengthen these research activities, the department has established a well setup of Research and Development Laboratories. The department faculty members have established themselves in nationally and internationally recognized research programs, including those of interdisciplinary nature.

Message from HOD

Dr. Manjula V

Head
Department of Artificial Intelligence & Machine Learning

Welcome to the Department of Artificial Intelligence and Machine Learning at P.A College of Engineering Mangalore.

We AIML@PACE are strongly committed to impart innovative and quality technical education with high standards. Artificial Intelligence & Machine Learning is a diverse field which has a significant role in the development of cutting-edge technology. Our mission is to enable students to become leaders in the industry and academia nationally and internationally in multidisciplinary area of AI ML.

AI ML covers a wide spectrum of emerging fields like Natural Language Processing, Computer Vision, Deep Learning, Speech/ Signal Processing, Embedded Systems, Intelligent Algorithms, Pattern Recognition, Data Mining and Big-Data Analytics. Our Team of qualified and experienced faculty makes students skilled in the above-mentioned areas along with their regular curriculum.

In addition to the curriculum, more emphasis is placed on enriching the students learning, experience by providing value added courses, Application development programs, Skill development programs, Technical and cultural competitions, Certification courses, Workshops, Hackathon at all levels including state, national and international platforms.

Department of AI ML @PACE strives hard to meet pressing demands in AI ML by making students technically competent at the global level and be industry ready in 4 years of their course. We encourage and intend their innovative ideas / projects / models / systems and make them realize the importance of ethics and human values.

We continue this journey with our commitment to excellence!

Vision Mission
  • To provide students an academic atmosphere with an approachability of advanced technical skills, leading to life-long learning process.
  • To prepare students for graduate and postgraduate programs and succeed in their careers in the field of Artificial Intelligence and Machine Learning.
  • Graduates will exhibit proficiency as an individual and in teams with leadership and professional skills.
  • 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, review 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 the 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, 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.
  • Lifelong learning: Recognize the need for, and have the preparation and ability to engage in independent and lifelong learning in the broadest context of technological change.
  • Ability to evaluate, understand and develop algorithms in the areas related to Artificial Intelligence, Data Science, Machine Learning, Neural Networks, Big data Analytics, Virtual Reality, Natural Language Processing and Internet of Things.
  • Ability to develop and familiarize with the upcoming challenges in the field of Artificial Intelligence and Machine Learning.
  • Improve and apply Artificial Intelligence techniques to implement human intelligence tasks such as Computer Vision, Natural Language Processing and Speech Recognition.

  • Dr. Manjula V

    Professor and HOD

    Qualification : B.E, M.Tech, Ph.D
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    • Dr. Manjula V

    Professor and HOD

    B.E, M.Tech, Ph.D

    Educational Details

    Degree : B.E.
    Year : 2002
    University : Bangalore University
    PG Degree : M.Tech
    Year : 2011
    University : VTU, Belagavi
    Doctoral Degree : Ph.D
    Year : 2019
    University : Jain University

    Research Experience

    3 Years

    Other Specialization

    CSE

    Subjects teaching at Under Graduate level

    SAN, DBMS, OS, ATC, BIG DATA ANALYTICS, DATA STRUCTURES,C, C++

    Subjects teaching at Post Graduate level

    ADVANCE DBMS, MOBILE COMPUTING

    International journals

    15

    Papers Presented in National Conference

    2

    Number of academic projects guided

    UG : 15

    Research Guidance

    1

    Workshop Attend

    15

    Workshops/Seminars organized

    5

    Awards and Achivements

    1 Received Appreciation letter for conducted National conference NCETIT 2021, at DBIT, Bangalore.
    2 Received Appreciation letter for mentoring and support to Government High School students, who won the Second prize (25k cash) from ANVESHNA PROJECT TEAM,(2023) Bangalore.

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  • Dr. Mohammed Ismail B

    Professor

    Qualification : B.E, M.Tech, Ph.D
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    • Dr. Mohammed Ismail B

    Professor

    B.E, M.Tech, Ph.D

    Educational Details

    Degree : B.E.
    Year :
    University :
    PG Degree : M.Tech
    Year :
    University :
    Doctoral Degree : Ph.D
    Year :
    University :

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  • Dr. Mohammed Zakir B

    Associate Professor

    Qualification : B.E, M.Tech, Ph.D
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    • Dr. Mohammed Zakir B

    Associate Professor

    B.E, M.Tech, Ph.D

    Educational Details

    Degree : B.E.
    Year : 2009
    University : VTU, Belagavi
    PG Degree : M.Tech
    Year : 2011
    University : VTU, Belagavi
    Doctoral Degree : Ph.D
    Year : 2023
    University : VTU, Belagavi

    Teaching Experience

    Working as an Assistant Professor In E&C  DEPT at P A College of Engineeing Mangalore  for 5 years.

    Research Experience

    1 Year

    Industry Experience

    Worked as as  Intern in Samsung India Software Operation Pvt Ltd Bangalore for 1 year.

    Specialization PG

    Digital Electronics and communication

    Subjects teaching at Under Graduate level

    Basic Electronics,Microelectronics,Operating System,Low Power VLSI,Computer communication network and Image Processing

    Subjects teaching at Post Graduate level


    Technical Interest

    Low Power VLSI

    Skill Set

    Programming in MATLAB, Verilog/VHDL, Microcontroller and Embedded C and Cadence software tool (both back  end and Front end physical design)

    National journals

    Publised Paper in SciencePG

    International journals

    Amjad Khan, Mohammed Zakir Bellary, Mohammad Ziaullah, Abdul Razak Kaladgi, “An Experimental Approach to Determine the Effect of Different Orientation of Dimples on Flat Plates” in “AMERICAN JOURNAL OF ELECTRICAL POWER AND ENERGY SYSTEMS”, 2015; 4(3): 29-33, May 28, 2015, doi: 10.11648/j.epes.20150403.12, ISSN: 2326-912X (Print); ISSN: 2326-9200 (Online).
    Amjad Khan, Mohammed Zakir Bellary, Mohammad Ziaullah, Abdul Razak Kaladgi “An Experimental Study on Heat Transfer Enhancement of Flat Plates Using Dimples”, in “AMERICAN JOURNAL OF ELECTRICAL POWER AND ENERGY SYSTEMS”, 2015; 4(4): 34-38, May 28, 2015, doi: 10.11648/j.epes.20150404.11, ISSN: 2326-912X (Print); ISSN: 2326-9200 (Online).
    Kamal, Shoaib, Farrukh Sayeed, Mohammed Rafeeq, and Mohammed Zakir. Facial emotion recognition for human-machine interaction using hybrid dwt-sfet feature extraction technique. In 2016 Second International Conference on Cognitive Computing and Information Processing (CCIP), pp. 1-5. IEEE, 2016.
     “IOT BASED E-HEALTH MONITORING SYSTEM USING ARDUINO UNO” by Mittal Rovina Martis, Mohammed Zakir Bellary in Journal of Emerging Technologies and Innovative Research (JETIR) www.jetir.org in 2018.
    “Discovery of Medical MR Images of Pathology Using Segmentation By Various Clustering              Techniques” by Mohammed Zakir Bellary,Dr B.Aziz Musthafa and Dr Zahid Ansari in International Journal of Emerging Technologies and Innovative Research (www.jetir.org) in 2019.

    Number of academic projects guided

    UG : 4
    PG : 1

    Workshop Attend

    10 days training program on “FPGA based system Design: A System On Chip”,organized by CDAC at CDAC Knowledge Park,Bangalore 25th  June to 5th July 2012.
    3days workshop on “Soft and Evolutionary Computing Technique and its application” from 30th may to 1st June 2013 organized by BEC Bagalkot.
    5 days ISTE-PTU FDP on “Wavelets and its Application” during 9th -13th June 2014, BLDEA Bijapur.
    Two days Hands-On training program on”IC system design using Mentor Graphics” organized by Anna University Coimbatore on 18th & 19th April 2013.
    Two days workshop on “Application of Matlab and Simulink”conducted by Coreel technology in association with Mangalore University (26th & 27th Aug 2014).
    3 days FDP on “Digital Signal processing and its implementation in Matlab and simulink”conducted by SOLYPSIS LAB & PACE, Mangalore 26TH to 28th Sep 2013.
    3 days FDP on “Advances in Signal processing and its implementation in VLSI”conducted by PACE, Mangalore 22nd to 24thy January 2014.
    1 week FDP on “Research Methodology & Issues” organised by BLDEA CET Bijapur from 8th to 12th June 2015.
    Three day international Workshop on “Eureka Research writing ” In PACE Mangalore in 2017.
    QIP Short Term Course Medical Image Computing : Machine Learning
    Methods and Advanced MRI Application in   IIT MUMBAI in July 23-27, 2018.
    One week FDP on “Design and Implementation of Hardware Accelerators and Protocols on FPGA” in BLDEA’s CET Vijayapura in Dec 13-17 2018.
    One day international Workshop on “Research, writing and publishing in reputed Journals” In PACE Mangalore in 27 july 2019

    Details of Membership in Academic Bodies

    Member ISTE(LM-91889)

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  • Mr. Afsar Baig M

    Assistant Professor

    Qualification : B.E, M.Tech
    read more

    • Mr. Afsar Baig M

    Assistant Professor

    B.E, M.Tech

    Educational Details

    Degree : B.E.
    Year : 2008
    University : VTU, Belagavi
    PG Degree : M.Tech
    Year : 2013
    University : VTU, Belagavi

    Teaching Experience

    15 Years

    Specialization PG

    CSE

    Number of academic projects guided

    UG : 16
    PG : 2

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  • Ms. Nazreen Aysha V M

    Assistant Professor

    Qualification : M.TECH (VLSI&ES)
    read more

    • Ms. Nazreen Aysha V M

    Assistant Professor

    M.TECH (VLSI&ES)

    [email protected]

    Educational Details

    Degree : B.E
    Year : 2019
    University : VTU
    PG Degree : M.TECH
    Year : 2022
    University : VTU
    Other Degree : DIPLOMA
    Year : 2016
    University : DTE

    Teaching Experience

    4 years

    Specialization PG

    ECE

    Other Specialization

    EEE

    Subjects teaching at Under Graduate level

    AI,OS,OS LAB, DAE LAB, SCR LAB

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  • Mr. Sidheek

    Assistant Professor

    Qualification : B.E, M.Tech
    read more

    • Mr. Sidheek

    Assistant Professor

    B.E, M.Tech

    Educational Details

    Degree : B.E.
    Year :
    University :
    PG Degree : M.Tech
    Year :
    University :

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  • Ms. Mashitha Sulthana

    Assistant Professor

    Qualification : B.E, (M.Tech)
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    • Ms. Mashitha Sulthana

    Assistant Professor

    B.E, (M.Tech)

    [email protected]
    Believe in learning lifestyle

    Educational Details

    Degree : B.E(CSE)
    Year : 2020
    University : VTU
    PG Degree : M. Tech (CSE)
    Year : 2023
    University : VTU

    Teaching Experience

    2

    Subjects teaching at Under Graduate level

    Data Structures and Application, Mastering Office, Objected oriented programming with java, principles of problem solving.

    Number of academic projects guided

    UG : 1

    Workshop Attend

    MACHINE LEARNING, IOT

    Other Related Info

    Good in technical talks

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  • Ms. Sona

    Assistant Professor

    Qualification : B.E.
    read more

    • Ms. Sona

    Assistant Professor

    B.E.

    Educational Details

    Degree : B.E.
    Year :
    University :

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