VPKBIET | Baramati

Department of Artificial Intelligence and Data Science

HOD's Desk

Dr. Arvind Jagtap

“Artificial Intelligence is going to change the world more than anything in the history of mankind. More than electricity.” AI oracle and venture capitalist Dr. Kai-Fu Lee, 2018.

Artificial intelligence is impacting virtually every industry and applications of human beings. From your smart phones to driverless cars and computer games to space missions, everywhere you find the application and integration of artificial intelligence. Artificial intelligence has boosted the other technologies such as big data analysis, Internet of Things (IoT) and robotics and it will be the technology that will make our lives easier.

Almost all industries are now opting and investing large amounts of funds for the research, application and integrations of artificial intelligence in their products.There is a good demand in the market for the skillful engineers with the knowledge and experience of Artificial Intelligence and Machine Learning.

Keeping in mind the need of the industry and the future of the technology, AICTE has initiated an undergraduate program in Artificial Intelligence and Data Science.

VPKBIET Baramati has started the undergraduate program of intake 60 in “Artificial Intelligence and Data Science” affiliated to Savitribai Phule Pune University, Pune. This course will give the students the right insight about the technologies like artificial intelligence, machine learning, data science and advanced topics like deep learning, natural language processing and big data analytics.

We will have a project-based learning approach to make students aware about the technology and product development processes. The blended learning model with MOOCs and other online learning tools will make the students resourceful.

Students will pursue their career in the industry as a machine learning engineer, data scientist, data analysts and software engineer. Students can also be an entrepreneur and start their own start-ups for artificial intelligence and machine learning applications.

We are confident that with our variety of learning pedagogy, we will produce engineers with the right knowledge and right skill sets required for the industry.

Program

Title	Full time/Part time	Duration	Intake	Established
B.E. Artificial Intelligence and Data Science	Full Time	4 years/ 8 sem	60	2020

Vision

Imparting quality education to develop skillful, dynamic and creative workforce in the domain of Artificial Intelligence and Data Science

Mission

To provide skill-based and state-of-the-art knowledge and induce problem solving skills to the graduates.
To associate with the industry and institutes of repute for experiences in the domain of Artificial Intelligence and Data Science.
To encourage the students for the solutions to the societal problems using the skills and knowledge of
Artificial Intelligence & Data Science.
To undertake cross-disciplinary work for the experience based learning andcollaborative research.

PEOs

Faculty

Name	Designation	Qualification
Dr. Arvind Jagtap Dr. Arvind Jagtap Name: Designation: Qualification: Research Interests: Email Id: Dr. Arvind Jagtap Assistant Professor & HOD B.E.(I.T.),M.E.(Computer Networks),Ph.D.(CSE) Artificial Intelligence(AI),IoT arvind.jagtap@vpkbiet.org Brief Profile : Dr. Arvind Jagtap has received his B.E. (IT) in 2007 and M.E. (CN) in 2012 in Computer Networks from Savitribai Phule Pune University, Pune. He has awarded Ph.D. (CSE) for his work on, “Energy Efficient Movement for Target Coverage and Network Connectivity in Mobile Sensor Networks for Crop/Weed Classification” in 2021 from Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai. He carried out his research under the guidance of Dr. N. Gomathi. He has published his research papers in IEEE and Springer Digital Library. Arvind presented his research papers in Various Conferences. Arvind has published two patents and 13 copyrights. Arvind worked with Information Technology Dept. from June 2017 to April 2022 at MIT ADT University, Pune and July 2007 to June 2017 at Sinhgad Institutes Pune respectively. He is the life member of IEEE, IAENG and ISTE. Vidwan Profile: https://vpkbiet.irins.org/profile/277503 Publications : Arvind M Jagtap, Prof.Dr.Gomathi N, “Minimizing Sensor Movement in Target Coverage Problem: A Hybrid Approach using Voronoi Partition and Swarm Intelligence”, Bulletin of the Polish Academy of Sciences: Technical Sciences, (DOI: 10.1515/bpasts-2017-00ZZ). Arvind M Jagtap, Prof.Dr.Gomathi N, “Minimizing Sensor Movement for Network Connectivity in Mobile Sensor Networks: An Adaptive Approach”, Cluster Computing: The Journal of Networks, Software Tools and Applications, Springer Journal, ISSN: 1386-7857 (Print) 1573-7543 (Online). International Journal – (SCOPUS-04) Arvind M Jagtap, Prof.Dr.Gomathi N, “Energy Efficient Sensor Deployment with TCOV and NCON in Wireless Sensor Networks”, International Journal of Embedded and Real-Time Communication Systems (IJERTCS), ISSN: 1947-3176\|EISSN: 1947-3184\|DOI: 10.4018/IJERTCS. Arvind M Jagtap, Prof.Dr.Gomathi N, “Optimal Sensor Deployment in Internet of Things based Wireless Sensor Network for Irrigation Management System”, International Journal of Engineering and Advanced Technology (IJEAT)’ISSN: 2249-8958 (Online) \| Reg. No.: C/819981 \| Published by BEIESP \| B Impact Factor: 5.97 \| Scopus Journal that published at Volume-9 Issue-1, October 2019. Arvind M Jagtap, Prof.Dr.Gomathi N, “Meta-Heuristic based Trained Deep Convolutional Neural Network for Crop Classification” ,International Journal of Emerging Trends in Engineering Research (IJETER) - Scopus Indexed - ISSN 2347 – 3983(Online) at https://doi.org/10.30534/ijeter/2020/161872020 Volume 8. No. 7, July 2020. International Conference- Arvind M Jagtap, M. A. Shukla, “Optimized Node Deployment using Enhanced Particle Swarm Optimization for WSN”, International Journal of Emerging Technology and Advanced Engineering, website: www.ijetae.com (ISSN 2250-2459, ISO 9001:2008 Certified Journal, Volume 3, Issue 3, March 2013). Arvind M Jagtap, M. A. Shukla, “Optimized Node Deployment using Enhanced Particle Swarm Optimization for WSN”, International Journal of Computer Architecture and Mobility, (ISSN 2319- 9229) Volume 1-Issue 5, March 2013. International Conference (05) Arvind M Jagtap, Prof.Dr.Gomathi N,”A Novel Deployment scheme for WSN”, International conference on Recent Trends in Computing, Communication and Science (ICRTCCS) on Jan 08-09 2016. Arvind M Jagtap, M. A. Shukla, “Hierarchical Node Deployment Optimization for Wireless Sensor Networks”, C-PGCON-2012, Computer Engineering-PG Conference (University of Pune) on 21st -22nd April 2012. Arvind M Jagtap, “Optimized Node Deployment using Enhanced Particle Swarm Optimization for WSN”, INNOVATION-2016, Regional Research Conference, BCUD, SPPU on 7th September 2016. Arvind M Jagtap, “Optimized Node Deployment using Enhanced Particle Swarm Optimization for WSN”, INNOVATION-2016, Regional Research Conference, BCUD, SPPU on 6th July 2015. Arvind M Jagtap, Prof.Dr.Gomathi N,”A EPSO Deployment scheme for WSN”, National conference on Recent Trends in information Technology, GCE Karad (NCRTIT) on Oct 01-02 2016.	Assistant Professor & HOD	B.E.(I.T.),M.E.(Computer Networks),Ph.D.(CSE)
Mr. Digambar Padulkar Mr. Digambar Padulkar Name: Designation: Qualification: Research Interests: Email Id: Mr. Digambar Padulkar Assistant Professor B.E.(Computer), M.Tech (Computer) Data Mining, Machine Learning digambar.padulkar@vpkbiet.org Brief Profile : Digambar M. Padulkar has graduated in Computer Science and Engineering, from Shivaji University, Kolhapur. He has completed his Post-graduate degree from Government College of Engineering Pune(CoEP). He has to his credit international conferences and journal papers. He is a Principal investigator for research project titled "Electricity Transformer Life Time Estimation using Association Rule Mining" Funded by BCUD, Savitribai Phule, Pune University, Pune. He has delivered expert lectures on Design and Analysis of Algorithms, System Programming, Computer Graphics, Compiler Construction at different engineering colleges under Shivaji University, Solapur University and Pune University. Digambar is having 12 years of experience at undergraduate and Post graduate level. He has worked as Correspondent for the National Conference on Emerging Trends in Engineering and Technology (NCETET-2012) at VPCoE, Baramati in 2012. Digambar has worked as workshop coordinator for "SDES" Workshop conducted by IIT Bombay, Mumbai and "Introduction to Design of Algorithms" ISTE workshop by IIT Kharagpur, supported by MHRD Govt. of India at VPCoE as remote center. He has also contributed in designing syllabus of various subjects of Computer Engineering for University of Pune. He has also worked as Teaching Assistant for a workshop on "Database Management Systems" organized by MHRD and IIT, Bombay. Recently he coordinated a CEP on "Design and Analysis of Algorithms" by Dr. Abhiram G. Ranade. Currently he is working as College Examination Officer(CEO), for Savitribai Phule, Pune University, Pune. He is a Life Member of Indian Society for Technical Education and CSI India. He has worked as Lecturer in the Department of Computer Engineering from 2006 to 2010. He is Assistant Professor in the Department of Computer Engineering since 2010. Vidwan Profile: https://vpkbiet.irins.org/profile/179605 Publications : "Enhanced Training Phase Reduction with Feature Filtering for Malware Detection Using Ensemble SVM", International Journal of Science and Research (IJSR) International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2013): 6.14 \| Impact Factor (2013): 4.438 "Incremental CFP-Tree Optimization For Efficient Representative Pattern Set Mining", International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064 Index Copernicus Value (2013): 6.14 \| Impact Factor (2013): 4.438 "Uncertain Numerical Data Clustering using VORONOI Diagram and R-Tree with Ensemble SVM" The International Journal of Computer Science and Technology. VOL.03 Issue 03(03) ,2012. "A Survey on Template Based Abstractive Summarization of Twitter Topic Using Ensemble SVM with Speech Act", International Journal of Engineering Research & Technology (IJERT) ISSN: 2278-0181 Vol. 2 Issue 11, November - 2013 "Template Based Abstractive Summarization of Twitter Topic with Speech Act", International Journal of Engineering Sciences & Research Technology with ISSN No. ISSN: 2277-9655 Scientific Journal Impact Factor: 3.449 "Privacy Preservation of Sensitive Information using Slicing", International Journal of Engineering Research & Technology (IJERT) Vol. 3 Issue 6, June - 2014 "Discovering Knowledge with Uncertain Data Using Vector Norms in Python", International Conference on Python IITB, Mumbai during 13 th -15 th Dec. 2013 "Controlling Electricity based Agriculture Equipment's through GPRS enabled Mobile". In: Proceedings of the International Conference on Data Engineering and Management (ICDEM-2008), February 2008. Currently working on the research project titled "Electricity Transformer Life Time Estimation using Association Rule Mining" funded by Savitribai Phule, Pune University Pune. For the period of 2014-2016	Assistant Professor	B.E.& M.Tech (Computer Engg.)
Mrs. Rohini Naik Mrs. Rohini Naik Name: Designation: Qualification: Research Interests: Email Id: Mrs. Rohini Naik Assistant Professor B.E.(Comp. Engg.),M.E.(Comp. Engg.) NLP, Data Mining rohini.naik@vpkbiet.org Brief Profile : Rohini S. Naik has graduated in Computer Engineering from VIT College, Savitribai Phule Pune University. She has completed her Post-graduate degree from VIIT College, Savitribai Phule Pune University. She has to her credit a filed Copyright and international journal papers. Rohini has 4 years and 6 months of industry experience as a Software Developer and 4 years of teaching experience. She has total 8 years and 6 months of work experience. Based on the research, she has a Copyright filed on her name. Copyright Diary Number: 5954/2016-CO/L registered for title, “A Natural Language Query to SQL Converter using Dependency Parsing”. Industry Experience: She has 3 years and 10 months of experience in Magic Software Enterprises India Pvt. Ltd, Wakdewadi Pune. Where she worked on software technologies like c++, databases, c#.net. She also worked with Tata Consultancy Services Ltd. (TCS), Hinjewadi, Pune as a part of a post-graduate project for 1 year where she worked on technologies like Java, databases. She has represented her college as a faculty and guided students for international E-Bike competition 2019 at Chennai. Being a multidisciplinary project activity, she motivated students during different phases of the event. She has received the best faculty advisor award for the same at SRM University, Chennai. She is a Life Member of Indian Society for Technical Education. She has total 6 paper publications (1 is Scopus indexed, 4 in international journals, 1 in national conference) having Citations 14, h-index 2. Vidwan Profile: https://vidwan.inflibnet.ac.in/profile/294435 Rewards/Recognitions: Recognized as a Microsoft Technology Associate for “Introduction to Programming using Python”. NPTEL certifications Coursera Certifications for courses: “Advanced Writing”, “Programming for Everybody (Getting Started with Python)”, “Python Data Structures”, “Using Python to Access Web Data”, “Using Databases with Python”, “Capstone: Retrieving, Processing, Visualizing Data with Python”, “Introduction to Data Science in Python”, “Python Data Visualization”, “Advanced Instructional Strategies in the Virtual Classroom”, “Get Interactive: Practical Teaching with Technology”, “Learning to Teach Online”, “Understanding Classroom Interaction” Coursera Specialization certificate for “Python for Everybody”. Publications : Rohini Kokare, Kirti Wanjale, “A Survey of Natural Language Query Builder Interface for Structured Databases using Dependency Parsing”, International Journal of Computer Application, Pages 9-14, Vol-107/Number 5, ISBN : 973-9380884-18-8, 18 December 2014 . Rohini Kokare, Kirti Wanjale, “A Natural Language Query Builder Interface for Structured Database using Dependency Parsing”, CPGCON(Computer Post Graduation Conference), MET Bhujbal Knowledge City, Nashik. Rohini Kokare, Kirti Wanjale, “A Natural Language Query Builder Interface for Structured Database using Dependency Parsing”, IJMSC (Unpaid Journal). Rohini B. Kokare, Aniruddha P. Kshirsagar, Pravin S. Patil, “NLQBI –A WSD Dependency Parsing using Neural Network”, IJFRCSCE, 2019. Aniruddha.P. Kshirsagar, Shraddha K. Dhole, Pravin S. Patil, Rohini B. Kokare, “Mobischool School Management System using Android Application”, International Journal of Innovative Technology and Exploring Engineering, 2019 (Scopus Indexed). Ashvini Nikhade, Pravin S. Patil, Aniruddha P. Kshirsagar, Rohini B. Kokare, “Load Balancing In Distributed File Systems Using Clouds”, Journal of Emerging Technologies and Innovative Research, 2019.	Assistant Professor	B.E.(Comp. Engg.),M.E.(Comp. Engg.)
Mr. Pradip Ghorpade Mr. Pradip Ghorpade Name: Designation: Qualification: Research Interests: Email Id: Mr. Pradip Ghorpade Assistant Professor BE(IT), M.Tech.(CSE) Data Science, Cloud Computing, Software Testing. pradip.ghorpade@vpkbiet.org Brief Profile : Mr. Pradip Ghorpade has received his B.E. in 2010 in Information Technology from Pune University and M.Tech in Computer Science & Engineering in 2015. His area of interests includes Data Science, Cloud Computing, and Software Testing. He has 10.6 years of teaching experience. He is the life membership IAENG, CSTA. He did ATAL Courses, NPTEL Certification, STTP, Workshops, FDPs, Seminars, Symposiums. Sponsored by IIT Bombay, AICTE, ISTE, Pune University & UGC & shouldered many responsibilities like reviewing & examining UG students' Projects & Seminars. He is working as an Assistant Professor in the Department of Artificial Intelligence and Data Science. Rewards/Recognitions: Appreciated by IIT Bombay for creating awareness for Free Open Source Software as a Spoken Tutorial Project. ARPIT course Certification for CAS Refresher Course on Teacher and Teaching in Higher Education by SWAYAM NPTEL Certification in Courses viz.. Effective Engineering Teaching in Practice, Cloud Computing, Software Testing Python for Data Science.	Assistant Professor	BE(IT), M.Tech.(CSE)
Mr. Pradip Shendage Mr. Pradip Shendage Name: Designation: Qualification: Research Interests: Email Id: Mr. Pradip Shendage Assistant Professor BE(IT), M.E.(Computer Engineering) Machine Learning ,Internet of Things, Big Data Analtyics and Cloud Computing pradip.shendage@vpkbiet.org Brief Profile : Pradip N. Shendage completed his Bachelor of Engineering in Information Technology in 2012 from Mumbai University with first class. He completed his masters in Computer Engineering in 2015 from Savitribai Phule Pune University with distinction. Pradip has 6.0 years of teaching experience at undergraduate level and 1.5 years of industrial experience. He has handled a various responsibilities in the curriculum like SRPD Sr. Supervisor for Shivaji University Examination, Nodal Technical Coordinator for “Virtual Labs”, Nominee member of Computer Society of India (CSI Coordinator), University Online Examination Coordinator, Paper Setter for Remedial Examination, Central paper assessment work under Shivaji/DBATU university examination at Institute Level & also he has handled various responsibilities at department level such as Training and Placement Coordinator, Academic Coordinator, Student Coordinator, Member of Advisory board, Workshop and Guest Coordinator and MOU and Industry Coordinator etc. He has participated and received certificates of participation in various STTPs, ISTE workshops, Conferences. He has attended “Curriculum Development” workshop at DBATU, Lonere. He has actively participated/coordinated in many Faculty Development Programs (FDP) like Unnati life skills, Python Programming, Big Data Analytics & ML & AI etc. .He has attended international and national level faculty development programs. He got star performer award in International workshop on “Environment & Sustainability.” He is an active member of Indian Society for Technical Education (ISTE). He has completed many online certification from reputed organisations such as NPTEL, Courseera, TCSiON UDEMY, Futurelearn and Cognitive classes. He has published seven papers in international journals and one papers presented in International conference (I4Tech. Publications: International conference on industry 4.0 Technology “Enhanced Road construction process with machine learning and blockchain Technology” 2020(I4Tech) Published paper in IJARIIE in “Disease predication using Machine Learning algorithm” 2022 Published paper in IJARIIE in “An Assessment of Epilepsy disorder using numerous machine learning algorithms” 2022 Published paper in JETIR “Biotelemetry using human area networking” March 2020. Published paper in IJSDR “Fuel refill level indicator and fraud detection” March 2019. Published paper in IJSRD “Proposed System for Vehicle Monitoring and Tracking” 2018. Published paper in IJSR “A Novel QoS-Based Approach for Web Service Recommendation and Visualization” May 2015. Presented paper in cPGCON 2015 “A Novel QoS-Based Approach for Web Service Recommendation and Visualization” March 2015. Published paper in IJERGS “Review on Collaborative Filtering and Web Services Recommendation” Nov 2014	Assistant Professor	BE(IT), M.E.(Computer Engineering)
Staff
Mr. Ganesh Nimbalkar Mrs. Kusumanjali Jagtap Name: Designation: Qualification: Email Id: Mr. Ganesh Nimbalkar Computer Operator Diploma in Computer Engg. & CCNA ganesh.nimbalkar@vpkbiet.org	Computer Operator	Diploma in Computer Engg. & CCNA

Faculty Participation

Acedemic Year 2021-22

Mr. Dinesh A. Zende

Participated in Faculty Orientation Program on “Operating Systems” organized by K. K.Wagh Institute of Engineering Education and Research, Nashik on 25 Aug. 2021

Participated in ATAL FDP on “Deep Learning for Computer Vision” organized by Panimalar Engineering College from 23-27 Aug. 2021

Participated in FDP on “ Deep Learning for Computer Vision” organized by PICT, Pune from 12-14 Aug.2021

Participated in ATAL FDP on “Deep Learning for Computer Vision” organized by KIET GROUP OF INSTITUTIONS , Ghaziabad – 201206 UP, India from 26-30 July 2021.

Participated in ATAL FDP on “Deep Learning for Visual Computing” organized by Sri Krishna College of Engineering and Technology Coimbatore-641008 (TAMIL NADU) from 19-23 July 2021.

Mr. Digambar Padulkar

Participated in ATAL FDP on “Design of Experiments and Artificial Neural Network” organized by MJP Rohilkhand University from 16-20 Aug. 2021

Mr. Sahil Shah

Mr. Sahil K. Shah (Assistant Professor, AI&DS Engg.) received an award(iPad) and recognition as "National Ambassador for Microsoft and SAP 2022" from Microsoft, SAP and Edunet Foundation for his contribution in Microsoft FDP on Artificial Intelligence and cascading of the same amongst students.

Participated in IPR Awareness Training Program organized by National IP Office, Nagpur & Symbiosis Institute of Technology, Pune on 11 Apr. 2022 .

Participated in Microsoft FDP on “Cloud Computing” organized by Vidya Pratishthan, Microsoft and Edunet Foundation from 08-10 Apr. 2022 Participated in One Week FDP on “Advances in Web Technology” organized by MMCOE, Pune from 08-11 Mar. 2022

Participated in FDP on “Internet of Things” organized by KKWIEER, Nasik and BoS Computer Engg., SPPU, Pune on 23 Feb. 2022

Participated in FDP on “Internet of Things Laboratory” organized by SNJB's Late Sau. K. B. Jain College of Engineering, Chandwad & BoS Computer Engg., SPPU, Pune on 21 Feb. 2022.

Participated in FDP on “Product Innovation AI & ML” organized by Zensar Technologies Limited, Pune from 05-06 Feb. 2022

Paricipated in AICTE-ISTE Sponsored One Week Induction/Refresher Program on “Cloud Computing and Security Challenges” organized by VPKBIET, Baramati from 10-15 Jan. 2022.

Paricipated in Microsoft ATAL FDP on “Artificial Intelligence” organized by Vidya Pratishthan, Baramati from 03-05 Dec. 2021

Paricipated in Online Webinar on “Artificial Intelligence as Enabler for Teachers in Implementing NEP 2020 “ organized by NITI Aayog and College of Engineering, Pune on 28 Aug.2021

Paricipated in ATAL FDP on “Deep Learning for Computer Vision” organized by Panimalar Engineering College from 23-27 Aug. 2021.

Paricipated in Faculty Orientation Program on “Object Oriented Programming and Computer Graphics Laboratory” organized by MET’s Institute of Engineering, Nashik on 24 Aug. 2021.

Participated in ATAL FDP on “Recent Trends in Computer Vision and Natural Language Processing” organized by The Northcap University from 19-23 July 2021 .

Participated in FDP on “Salesforce Developer Catalyst” organized by ICT Academy from 06-09 July 2021.

Participated in One week National level workshop on “React JS” organized by AISSMS Institute of Information Technology, Pune from 05 -10 July 2021.

Apart from above, faculty members have obtained online course certifications in various state-of-the-art technologies like Artificial Intelligence, Machine Learning, Data Visualization etc. through online learning platforms like Coursera and edX.

All faculty members from department of AI& DS have participated in “Machine Learning - Linear Regression” - courses by NASSCOM and FutureSkills Prime in Sept’21.

All faculty members from department of AI& DS have participated in several AICTE ATAL Faculty Development Programs in the area of Artificial Intelligence and Machine Learning, and completed it successfully.

Laboratories

Data Science Lab

No of Machines: 20

Hardware

ACER VERITON M200 – H510 11th Gen Intel(R) Core(TM) i5-11400 @ 2.60GHz 2.59 GHz, 16 GB DDR RAM – 2666MHz, SATA 512 GB SSD, Acer Optical Mouse, Acer Standard keyboard, Acer 21.5 inches TFT Monitor, Intel Integrated Graphics Card.

Software

Ubuntu 20.04 LTS:- GCC, G++, Java, Python, NetBeans, Wireshark, Anaconda Navigator 10, MySQL, MySQL Workbench,MongoDB, Open GL, VSCode, Packet Tracer
Microsoft Windows 10 (64 bit OS):- Java 1.8, Visual Studio 12, Net beans 12.6, Anaconda Navigator, Cisco Packet Tracer, MySQL, MySQL Workbench, Mongo DB, Draw.io

Lab. Incharge: Mr. Sahil Shah

Lab. Assistant: Mr. Ganesh Nimbalkar

Artificial Intelligence Lab

No of Machines: 20

Hardware

Software

Lab. Incharge: Mr. Pradip Shendage

Lab. Assistant: Mr. Ganesh Nimbalkar

Computer Vision Lab

No of Machines: 20

Hardware

ACER VERITON MT/ H510MBD 11th Gen Intel(R) Core(TM) i5-11500 @ 2.60GHz 2.59 GHz, 16 GB DDR RAM – 3200MHz, SSD 512 GB NVME M.2, Acer Wired USB Keyboard & Mouse, Acer 21.5 inches Full HD Monitor HDMI, Integrated Stereo Speakers & VGA, Intel Integrated Graphics Card.

Software

Ubuntu 20.04 LTS:- Ubuntu 20.04 LTS:- GCC, G++, Java, Python, NetBeans, Wireshark, Anaconda Navigator 10, MySQL, MySQL Workbench,MongoDB, Open GL, VSCode, Packet Tracer
Microsoft Windows 10 (64 bit OS):- Java 1.8, Visual Studio 12, Net beans 12.6, Anaconda Navigator, Cisco Packet Tracer, MySQL, MySQL Workbench, Mongo DB, Draw.io

Lab. Incharge: Mr. Digambar Padulkar

Lab. Assistant: Mr. Ganesh Nimbalkar

Machine Learning Lab

No of Machines: 20

Hardware

Software

Lab. Incharge: Mr. Pradip Ghorpade

Lab. Assistant: Mr. Ganesh Nimbalkar

Student Participation

Acedemic Year 2021-22

67 Students have participated in Machine Learning - Linear Regression - courses by NASSCOM and FutureSkills Prime

Mr. Abhishek Sutar (SE-AI & DS) secured Second State Rank at the Hackathon - HackFest organized by NASSCOM and FutureSkills Prime.

69 students have participated in IBM Edunet Skill Development Program.

Students from SE(AI&DS) have successfully completed various Online Student Internship Programs.

65 Students from SE(AI&DS) have successfully completed Spoken Tutorial Course on “C and CPP” with certification from IIT Bombay after qualifying the online exam. This activity was organized and coordinated by Mr. Sahil K. Shah during Aug-Nov’21.

52 Students from SE(AI&DS) have successfully completed Spoken Tutorial Course on “Java Programming '' with certification from IIT Bombay after qualifying the online exam. This activity was organized and coordinated by Mr. Sahil K. Shah during Jan-Apr’22.

Mr. Rishi Nashikkar (SE-AI & DS)

Mr. Rishi Nashikkar (SE-AI & DS) participated in Level 1:E-commerce and Tech Quiz of Flipkart GRiD 3.0 -Software development challenge organized by Flipkart on 5 Oct’21.

Results

2021-22

May/June-2022 Toppers:

Second Year (SE) SGPA

1. Alfiya Tamboli - 9.00
2. Vishakha Jagtap - 8.91
3. Selvin Salve - 8.84
4. Sneha Bhaskar/Kaina Shaikh -8.70
5. Muskan Pathan/Harshada Khuspe - 8.61

Syllabus

Timetable (2021-22)

Guest Lectures

Name of Speaker/Guest	Topic	Date
Guest Lectures 2021-22
Ms. Rachayita Giri Senior Technical Consultant, Zuora, CA, USA	International Webinar on “ Career in Machine Learning and AI”	Saturday, 11 Sept. 2021
Mr. Akshay Patil (Alumni-VPKBIET, Baramati) Software Engineer at California, USA	Online Interactive session on “Higher Studies in USA”.	Saturday, 28th Aug. 2021

Industrial Visits

Industrial Visits 2021-222

VPKBIET, Server Room

6th May 2022

SE-AI&DS

77 students from SE(AI&DS) have visited Institute Server Room on 06/05/2022. This visit was organized to know basics of networking and various network devices. Institute network infrastructure, configuration of devices, user access policies etc. Mr. Sachin Wagh discussed these topics with the students and responded to the student questions. This activity was organized by Mr. Sahil K. Shah.

Department of Artificial Intelligence and Data Science

HOD's Desk

Dr. Arvind Jagtap

Program

Vision

Mission

PEOs

Faculty

Name

Designation

Qualification

Staff

Faculty Participation

Laboratories

Data Science Lab

Artificial Intelligence Lab

Computer Vision Lab

Machine Learning Lab

Student Participation

Results

Syllabus

Timetable (2021-22)

Guest Lectures

Industrial Visits

Industrial Visits 2021-222

VPKBIET, Server Room