CSE - (Artificial Intelligence & Machine Learning)


To emerge as a leading department in Technical Education and Research in Computer Science and Engineering, especially in Artificial Intelligence and Machine Learning domain with focus to produce professionally competent and socially sensitive engineers capable of working in global environment.


  • To prepare Computer Science and Engineering in Artificial Intelligence and Machine Learning graduates to be lifelong learners with competence in basic sciences & engineering and professional core, multidisciplinary areas, with upcoming technologies, so that they can succeed in industry as an individual and as a team or to pursue higher studies or to become an entrepreneur.
  • To enable the graduates to use modern tools, to design and develop artificial intelligence enabled products and also communicate effectively with professional ethics.
  • To continuously engage in research and project development with financial management to promote scientific temper in the graduates and attain sustainability.






Welcome to the Department of C.S.E. (AI&ML) (Artificial Intelligence & Machine Learning ) at D.I.E.M.S., Aurangabad.

The Department of CSE(AI&ML) at D.I.E.M.S. is strongly committed to impart innovative and quality technical education with high standards at undergraduate level. The faculty and non-teaching staff of the department is committed to prepare our students by providing the expertise and proficiency in Artificial Intelligence, Machine Learning,Deep Learning and its related fields needed to thrive in our modern society.

The AI&ML in the 21st century is the skill of the century. It has had a tremendous impact on human civilization. Artificial intelligence and in general the intelligent systems have changed how we work, how we communicate, how we teach and learn, how we entertain, and so forth. AI and ML has become a fundamental tool for augmenting human knowledge, which is an essential part of creation, discovery, and innovation.

The main goal of the Department is to provide an experiential learning opportunities such as hands-on training, project-based courses, research projects, and internships which provide a solid foundation to work in interdisciplinary teams that invent the future for which the Department covers a wide spectrum of research in the areas of Algorithms, Artificial Intelligence, Image Processing, Pattern Recognition, Machine Learning, Data Mining, Big-Data Analytics, and Computer Security led by qualified and experienced team of faculty members.

In addition to state-of-the-art curriculum, more emphasis is placed on enriching the students’ learning experience by providing value-added courses, skill-development programs, technical Workshops and participating in technical competitions, hackathons at all levels including state, national and international platforms.

The students, faculty, and staff of CSE(AI&ML) at  D.I.E.M.S.  , we believe in working together, we encourage each other, we help each other, and, most importantly, we believe in each other. This is the key to our students’ success at AI&ML at D.I.E.M.S. Hence, to bring the success of the department we focus on productive interdisciplinary collaborations to work across a diverse set of projects, laboratories, departments, and industry partners.

I am confident that the Department of Artificial Intelligence & Machine Learning at D.I.E.M.S. is strongly prepared to face the exciting new challenges in this new digital era and also to be one of the best institutions. We hope the information on this website may convey some sense of excitement that pervades the department as we make new discoveries and educate the best students of this nation.

Best regards,


Head of Department

C.S.E.(A.I.&M.L.), D.I.E.M.S.

Program Outcomes

  • 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 and 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.
  • 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.



  • Apply the fundamentals of science, mathematics and engineering knowledge to design, development, formulates and investigate complex engineering problems related to application area in Artificial Intelligence and Data Science.
  • Provide exposure to latest tools and technologies and aware of the impact of professional engineering solution in environmental, societal, professional ethics and able to communicate effectively.
  • To publish research paper and think, innovates in artificial intelligence, machine Learning and Data Science domain


  • To equip graduates with a strong foundation in engineering sciences and Artificial Intelligence and Data Science Engineering fundamentals to become effective collaborators, researchers and real-time problem solver with technical competencies.
  • Perceive the limitation and impact of engineering solutions in social, legal, environmental, economic and multidisciplinary contexts.
  • Excel in Industry/technical profession, higher studies, and entrepreneurship exhibiting global competitiveness
Sr. No. Name of the Staff Designation Contact No Email Id
1 Dr.S.A Shaikh H.O.D 8668694338 hodaiml@dietms.org
2 Dr.R.A.Khan Associate Professor 9096177955 rahatkhan@dietms.org
3 Prof.P.A.Joshi Assistant Professor 9850870335 prachijoshi@dietms.org
4 Dr.S.C.Nandedkar Assistant Professor 9834764194 sugandhanandedkar@dietms.org
5 Mrs.S.G. Deshpandde Assistant Professor 9657608318 sonalideshpande@dietms.org
6 Mr.K.S Jadhav Assistant Professor 9923009939 ksjadhav@dietms.org
7 Mrs.Z.K Jouhar Assistant Professor 8087646452 zainabjouhar@dietms.org
8 Mr.A.H.Rokade Assistant Professor 9823656868 anilrokade@dietms.org
9 Ms.S.J.Tuppad Assistant Professor 7709857316 sujatatuppad@dietms.org
1 2121141911016 DUSANE POOJA RAMAKANT 8.08
2 2121141911017 JEJURKAR POOJA SUBHASH 8
3 2121141911004 DONGARE NIKITA VITTHAL 7.88
4 2121141911058 KAPGATE NEHAL SURESH 7.58
6 2121141911019 VAIDYA SUMIT SUBHASH 7.54
7 2121141911015 SHAIKH WASEEM ASIF 7.5
8 2121141911018 SHINGATE VISHAL RAJENDRA 7.42
9 2221141911505 GHARE MOHINI UDDHAV 7.38
10 2121141911066 SATHE SHRAVANI RAHUL 7.33


Sr. No. Name of the Company Class Date of Industrial Visit (DD/MM/YY) Number of Benificiries
1 Aurangabad Smart City SY & TY 18/05/2022 150

Guest Lectures


Sr.no Name of Resource Person Designation & Name of organization Class Date Topic
1 Mr. Deek Parassini Founder,LIAP Foundation,Chennai, Tamil Nadu TY&SY(AIML) 13/04/2023 Tips, Strategies, and priceless Life Lessons
2 Mr.Mustafa Baquari Senior Software Engg, Google ,Bangalore SY(AIML) 15/09/2022 Processes flow of placment
3 Mr.Mohteshim wahaj Khan Integrated devoloper in system engineer,Infosys,Pune SY(AIML) 28/09/2022 Role of AIML in Technology,in Infosys
4 Mr.Ashitosh Bhakare Director,Unnati devolopment and training centre,Auranbgabad. TY(AI&ML) 28/09/2022 Role of Linux in the field of AIML
5 Mr.Yashodip Gaikwad Free Lancer,in Java,Python and Spring boot TY(AI&ML) 17/10/2022 Role of spring boot ,java in AIML
6 Dr.Sanjeev  Pipal Program Director,MGM University. SY(AIML) 21/12/2022 Softs skill development
7 Dr.Smita Avchar HOD Sociiology Dept.,DrBAMU Aurangabad. TY&SY(AIML) 25/11/2022 Need of Social Awairness Among  youth
8 Mr.Yash Balvir Junior data scientist at Curls Analyst TY(AI&ML) 06/05/2023 Application of Artificial intelegence
9 Shriniwas Kulkarni M.tech BHU,British Telecom,Bangalore TY(AI&ML) 23/03/2023 Data Science
10 Mr.Vikram Verma Cyber security Analyst,Versatile Technology,Aurangabad TY(AI&ML) 24/04/2023 Cryptography and network security
11 Mr.Vivek Verma Director,Versatile Technology,Aurangabad. SY(AIML) 08/06/2023 Full Stack Webdevelopment.
12 Mrs.Ramani Kulkarni Associate Manager SAP Module ,at Accenture,Pune SY(AIML) 07/06/2023 SAP Certification


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