Department of AI, ML & IOT

The Department of CSE- Artificial Intelligence and Machine Learning (AIML) and Internet of Things (IoT) stands at the forefront of innovation, shaping a future that transcends boundaries and revolutionizes the way we interact with technology. The Department of CSE -AIML & IoT started in the year 2020, offers 2 UG courses namely B. Tech- CSE (AIML) and B. Tech-CSE (IoT). B. Tech-CSE (AIML) started with an intake of 60 students and eventually increased to 180 in 2021. Currently we are having an overall intake of 180 in AIML. B. Tech-CSE (IoT) has an intake of 60 students. The department also offers Minor programme in AIML and IoT for the circuit and non-circuit branches.

About the Department

At the core of this department, lies Artificial Intelligence (AI), the driving force behind groundbreaking breakthroughs in various fields. The department's relentless pursuit of AI excellence unlocks the potential to unravel complex problems and improve the efficiencies of the students to meet the industry needs. The department's expertise in machine learning drives the development of robust and adaptable models, empowering the students to unlock the untapped potential from various data assets. In synergy with AI and machine learning, the department embraces the transformative potential of the Internet of Things (IoT), which interconnects a myriad of devices, sensors, and systems. By seamlessly integrating the physical and digital worlds, IoT creates an intricate network of intelligent endpoints that generate a vast ocean of data. The department guides the students to harness the data generated through various devices, sensors and also work on real time datasets to unlock the new possibilities facilitating intelligent decision-making. The students are encouraged to work on real-time monitoring projects across diverse domains.

Vision

To emerge as an epicenter having transformative impact in the education and research of Artificial Intelligence & Machine Learning and Internet of Things with an ecosystem that contributes to the society through innovativeness and creativeness.

Mission

M1: To Impart innovative teaching and learning methodologies to generate knowledge through the state-of-the-art concepts and technologies in AI-ML and IoT with personal and professional responsibilities and commitment to lifelong learning with societal aspirations.

M2: To produce successful Computer Science and Engineering graduates with a specialization in AI-ML and IoT.

M3: To establish centers of excellence in leading areas of AI-ML and IoT in collaboration with industry to uplift innovative research and development.

Department of CSE- AIML & IoT strives to create an ecosystem that not only excels in education and research but also actively contributes to the society through innovation and creativity. The primary goal is to pursuit excellence in education and research by creating solutions that address global challenges. The faculty members within the department are highly skilled and well-versed in their respective fields, acting as valuable resources in seminars, faculty development programs, conferences and delivering invited talks. With certifications in Artificial Intelligence and Machine Learning from renowned institutions such as IIIT Hyderabad, they bring a wealth of expertise to the table. By staying up to date on the latest trends and developments, they ensure that their teaching methodologies and curriculum remain relevant and aligned with industry standards. The faculty's commitment to continuous learning and professional development enables them to provide the students with valuable exposure to real-world scenarios and industry best practices, bridging the gap between academia and industry.

In summary, our department is driven by a motto that prioritizes experiential learning through hands-on training, course-based projects, interdisciplinary projects, research projects and summer internships. By integrating experiential learning into our curriculum, students gain valuable practical skills that complement their theoretical knowledge. The interdisciplinary environment fosters an exchange of ideas, promotes collaboration, and nurtures a culture of continuous learning, ensuring that the department remains at the forefront of global AI and IoT advancements.

Department of B. Tech CSE (Artificial Intelligence & Machine Learning)

Programme Educational Objectives (PEOs):

  1. PEO-1: Analyze, design, and implement solutions to the chosen field of profession for a successful career.(Professional accomplishment)
  2. PEO-2: Pursue higher education for professional development or career paths in research. (Continuing Education)
  3. PEO-3: Function effectively in the workplace with demonstrable attributes like leadership, lifelong learning, work with teams towards the accomplishment of society needs with ethical responsibility. (Attitudes)
  4. PEO-4: Adapt, contribute, and innovate new technologies with good soft skills to become successful entrepreneurs.

Programme Specific Outcomes (PSOs):

On successful completion of the program, the graduates of B. Tech CSE (Artificial Intelligence & Machine Learning) will be able to:

  1. PSO-1: Apply the knowledge of Artificial Intelligence & Machine Learning principles to solve complex engineering problems which are cost effective and find appropriate solutions to build and design intelligent systems.
  2. PSO-2: Monitor and adopt to consistently changing Artificial Intelligence & Machine Learning landscape for futuristic challenges to meet specific needs of the society
  3. PSO-3: Understand, design, and implement the concepts of Artificial Intelligence & Machine Learning to build intelligent models and systems that are meeting industry 4.0 standards with ethical values.

Program Outcomes (POs):

The graduates of B. Tech CSE (Artificial Intelligence & Machine Learning) will be able to:

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. 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.
  3. 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.
  4. 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 for complex problems.
  5. 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.
  6. 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.
  7. 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.
  8. Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Individual and team work: : Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. 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.

Department of B. Tech CSE (Internet of Things)

Programme Educational Objectives (PEOs):

  1. PEO-1: Practice the engineering skills in the profession of Internet of Things (IoT) to identify and solve contemporary problems. (Foundation)
  2. PEO-2: Exhibit leadership capability with ethical and professional behavior through a lifelong learning attitude. (Lifelong Learning)
  3. PEO-3: Promote Design, Research and Entrepreneurial skills to Support the growth of country economy. (R&D and Entrepreneur)

Programme Specific Outcomes (PSOs):

On successful completion of the program, the graduates of : B. Tech CSE (Internet of Things) will be able to:

  1. PSO-1: Understand the fundamental concepts of Computer Science & Engineering with specialization in IoT and aligned mezzanine technologies.
  2. PSO-2: Design and Integrate hardware and software systems in the areas of IoT with a strong emphasis on lifelong learning to create feasible engineering solutions
  3. PSO-3: Analyze, Design, Implement, Test and Deploy smart applications related to industry and research for the advancement of society.

Program Outcomes (POs):

The graduates of B. Tech CSE (Internet of Things) will be able to:

  1. Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
  2. 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.
  3. 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.
  4. 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 for complex problems.
  5. 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.
  6. 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.
  7. 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.
  8. Ethics:Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
  9. Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
  10. 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.
  11. 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.
  12. 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.
S.No Name of the Faculty Designation Profiles Joining Date Qualification Nature of Association E-mail JNTUH ID
1 Dr. N. Sandhya Professor & Head 19-06-2014 Ph.D Regular sandhya_n@vnrvjiet.in 14150402-120027
2 Dr. Sagar Yeruva Associate Professor 23-05-2012 Ph.D Regular sagar_y@vnrvjiet.in 16150407-122941
3 Dr.A.Kousar Nikhath Associate Professor 20-06-2007 Ph.D Regular kousarnikhath@vnrvjiet.in 34150405-102222
4 Dr. G. Nagaraju Assistant Professor 24/05/2011 Ph.D Regular nagaraju_g@vnrvjiet.in 8924-150407-231234
5 Dr. Harshavardhan Awari Sr.Assistant Professor 27-03-2021 Ph.D Regular harshavardhan_a@vnrvjiet.in 1958-150417-101629
6 Sayeedakhanum Pathan Assistant Professor 30-03-2021 M.Tech Regular sayeedakhanum_p@vnrvjiet.in 9812-160201-105457
7 Mr.B.Venkatesh Assistant Professor 31/03/2021 M.Tech Regular venkatesh_b@vnrvjiet.in 2625-190611-164754
8 P.Nethrasri Assistant Professor 06.04.2022 M.Tech Regular nethrasri_p@vnrvjiet.in 7621-160616-094646
9 K. Naga Manasa Assistant Professor 21-04-2022 M.Tech Regular nagamanasa_k@vnrvjiet.in 0935-220426-101248
10 Mr. K. Kishan Babu Assistant Professor 29/04/2022 M.Tech Regular kishanbabu_k@vnrvjiet.in 7603-220518-151322
11 Mr K Kotaiah Swamy Assistant Professor 12.05.2022 M.Tech Regular kotaiahswamy_k@vnrvjiet.in 2353-150419-140819
12 Ms JyotsnaRani Tripathy Assistant Professor 06.08.2022 M.Tech Regular jyotsnarani_t@vnrvjiet.in 2879-220719-220735
13 Mr Bhupesh Deka Assistant Professor 20/08/2022 M.Tech Regular bhupesh_d@vnrvjiet.in 3172-220719-162334
14 P N V Syamala Rao M Assistant Professor 29-08-2022 M.Tech Regular syamalarao_p@vnrvjiet.in 04150404-102130
15 Dr Sitanath Biswas Assistant Professor 01.09.2022 Ph.D Regular sitanath_b@vnrvjiet.in 5804-220719-173000
16 Mr. Vijayakumar Chilamkurthi Assistant Professor 03.09.2022 M.Tech Regular vijayakumar_ch@vnrvjiet.in 6878-190702-150200
17 Preety Singh Assistant Professor 07.09.2022 M.Tech Regular preety_s@vnrvjiet.in 8664-160112-104621
18 Er. Sure Mamatha Assistant Professor 21-11-2022 M.Tech Regular mamatha_s@vnrvjiet.in 5331-181122-130316
19 Naga Durga Saile.K Assistant Professor 21/11/2022 M.Tech Regular nagadurgasaile_k@vnrvjiet.in 9639-150409-134549
20 K. Sreenivasa Rao Assistant Professor 30/12/2022 M.Tech Regular sreenivasarao_k@vnrvjiet.in 8430-230109-231226
21 Ms Jajala Nikitha Assistant Professor 18/01/2023 M.Tech Regular nikitha_j@vnrvjiet.in 4748-230228-150229
22 Mrs.G.Mamatha Assistant Professor 06.01.2023 M.Tech Regular mamatha_g@vnrvjiet.in 6054-160203-122840
23 Dr Narisetty Nirmalajyothi Assistant Professor 06.02.2023 Ph.D Regular nirmalajyothi_n@vnrvjiet.in 2541-150419-130601
24 M.Gnana vardhan Assistant Professor 07.02.2023 M.Tech Regular gnanavardhan_m@vnrvjiet.in 9504-230215-113641
25 Shaik Mabasha Assistant Professor 13/02/2023 M.Tech Regular mabasha_sk@vnrvjiet.in 8218-230217-103759
26 Mr.A.Srinivasa Rao Assistant Professor 15/2/2023 M.Tech Regular srinivasarao_a@vnrvjiet.in 7044-230228-095953
27 Mrs. Palabindela Swetha Assistant Professor 04.03.2023 M.Tech Regular pswetha_cse@vnrvjiet.in 9195-160223-151511
28 M Ajay Dilip kumar Assistant Professor 05.04.2023 M.Tech Regular ajaydilipkumar_m@vnrvjiet.in 0644-230405-171423
29 Mrs Archana K Assistant Professor 12.04.2023 M.Tech Regular archana_kalidindi@vnrvjiet.in 85150330-135618
30 Mr. V Sudhakar Assistant Professor 01.06.2023 M.Tech Regular sudhakar_v@vnrvjiet.in 3316-220423-122149
31 Mrs. J. Pushpa Kumari Assistant Professor 07-07-2023 M.Tech Regular pushpakumari_j@vnrvjiet.in 9718-150415-151641
32 Mrs. Prasanthi Y Assistant Professor 21-08-2023 M.Tech Regular prasanthi_y@vnrvjiet.in 49150330-141115
33 Mr. E. Gurumohana Rao Assistant Professor 01-09-2023 M.Tech Regular gurumohan_e@vnrvjiet.in 04150404-115423
34 Mr. V. Kishore Assistant Professor 18-10-2023 M.Tech Regular kishore_v@vnrvjiet.in 0485-200229-130713
35 Ms. V Manjula Assistant Professor 02-11-2023 M.Tech Regular manjula_v@vnrvjiet.in 7420-150412-131817
36 Mrs. V. Hema Devi Assistant Professor 11-06-2023 M.Tech Regular hemadevi_v@vnrvjiet.in 1003-231118-162008
37 Mrs. M. Swapna Kumari Assistant Professor 08-11-2023 M.Tech Regular swapnakumari_m@vnrvjiet.in 7406-220125-161509
38 Mrs. R Jyothsna Assistant Professor 08-11-2023 M.Tech Regular jyothsna_r@vnrvjiet.in 8690-150413-163035
39 Mrs. V. Sahiti Yellanki Assistant Professor 22-11-2023 M.Tech Regular sahiti_y@vnrvjiet.in 9624-150409-144855
40 Mrs. P. Arunasri Assistant Professor 04-12-2023 M.Tech Regular arunasri_t@vnrvjiet.in 2369-240104-113912
41 Dr. Durga Prasad Kavadi Sr. Assistant Professor 15-12-2023 Ph.D Regular durgaprasad_k@vnrvjiet.in 65150403-220648
42 Mrs. K. Akhila Tejaswini Assistant Professor 12-02-2024 M.TECH Regular akhila_k@vnrvjiet.in 0421-240214-111828
43 Mrs. Chilukuri Divya Assistant Professor 14-02-2024 M.TECH Regular divya_c@vnrvjiet.in 9678-240208-122556
44 Mrs. K. Prathyusha Assistant Professor 15-02-2024 M.TECH Regular prathyusha_k@vnrvjiet.in 5913-240215-163718
45 Mrs. N. Haritha Assistant Professor 14-02-2024 M.TECH Regular haritha_n@vnrvjiet.in 5782-151217-104928
46 Mrs. N Anjali Assistant Professor 12-02-2024 M.TECH Regular anjali_aiml@vnrvjiet.in 1866-210501-145641

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