Preeti A. Kale

Preeti A. Kale preeti.kale@mitwpu.edu.in, Pune, India 411009, Mob: 9850843165 Summary Associate Professor with more than 21 years teaching in higher education settings. Passionate about motivating and encouraging students to think critically about course material. Applies curriculum development knowledge to assist in cultivating challenging educational courses. Skilled at applying various learning methods and tools to optimize student experience and academic journey. A recognized reviewer for SCIE indexed journals. Researched and published articles on Artificial Intelligence, Analysis of ALgorithms, Wireless Sensor Networks and Computational biology in peer reviewed journals and conferences. Research Profile https://orcid.org/0000-0002-1571-9208. https://scholar.google.com/citations?user=qjAK7_IAAAAJ https://www.scopus.com/authid/detail.uri?authorId=35487807200 Experience December 2003 to Dec 2024, Assistant Professor Associate Professor from July2023, MIT World Peace University Pune, India, Approved PhD Supervisor Coordination and execution of all the academic processes related to course creation, content delivery, evaluation and assessments. Coordinator and contributor for various curricular processes at institution and school level which include BTech capstone project coordinator, PG coordinator- MTech CSE- Data Science and Analytics Mentor at Technology Business Incubation Center School level coordinator for Train the Trainer courses. Provided guidance for student thesis and dissertation work. Provided letters of recommendation and other referrals to students pursuing further education programs.. Researched and wrote articles on Artificial Intelligence, Wireless Sensor Networks and Computational biology for professional journals and publications. Subjects taught include Artificial Intelligence, Cognitive Computing and Natural Language Processing, Design and Analysis of Algorithms, Theory of Computation, Human Computer Interaction, Bioinformatics July 2013 to December 2014 Adjunct Professor, College of Engineering Pune Presented courses to undergraduate and postgraduate students and created lesson plans, tests and assignments to ascertain how well students retained class material. Designed exams, lecture material and writing assignments. Subjects taught include Financial Computing and Theory of Computation Self knowledge upgradation Successfully completed NPTEL course on “Introduction to Learning Analytics” with Elite Silver certificate in Sept 2019 Successfully completed MOOC course on “Introduction to tensor flow for artificial intelligence, machine learning, and deep learning” offered by coursera in June 2020 Successfully completed “Learning how to learn : Powerful mental tools to master tough subjects” a course offered by coursera in April 2021 Successfully completed PY0101EN: python basics for data science, a course of study offered by IBM on Edx in May 2021 Successfully completed AWS IoT: Developing and Deploying an internet of things, a course of study offered by IBM on Edx in June 2021 Attended a one week STTP on “Deep learning applications using IoT for Engineering and Science” sponsored by AICTE, between 24-29 May 2021, organized by SCET, MIT Alandi Attended a one week STTP on “Deep learning applications in Cyber-security for Engineering and Science” sponsored by AICTE, between 14-19 June 2021, organized by SCET, MIT Alandi Successfully completed online FDP on “EDUCATION 4.0 IN HIGHER EDUCATION”,conducted by Vishwakarma Institute of Information Technology from 31st July to 4th Aug 2023. Successfully completed one-week FDP on “Role of Teachers in Enhancing Academic and Administrative Excellence”,organized by the Accreditation and Ranking Committee(ARC) in association with IQAC-MITWPU from 24-28 July 2023 Administrative Work Coordinator for the Train the Trainer programme at University level Resource person and FoET coordinator for Train the Trainer program Mentor at MIT-TBI PG coordinator- MTech CSE –Data Science and Analytics Project coordinator for UG projects Curriculum development IQAC committee Admission counseling Admission outreach MIT Hackathon, NAAC, IET Accomplishments Resource person for a guest lecture on “Quantum Computing” for Defense officers, that was conducted in Oct 2023. Mentor for Smart India Hackathon(SIH): The team won the SIH final at Bangalore on 26th Sep 2022 and received a cash prize of Rs.100000/. Problem Statement No. UP1262 Organization : Dell Technologies, Bangalore, India. Category: Software Domain Bucket: Smart Automation Problem statement Description : A conversational chatbot builder to enable no-code template based chatbot for troubleshooting questions, training, problem diagnostics. Developed the syllabus and conducted a course on Artificial Intelligence for Defence Services Technical Staff Course (DSTSC) at Military Institute of Technology (MILIT) for the Indian Army, Indian Airforce and Indian Navy Officers in Sept 2023,Mar 2022 and Oct 2021. Resource person for Faculty Development Programs on Python and Artificial Intelligence /Machine Learning Recognized as Reviewer for SCIE indexed journals. NPTEL Certificate of Appreciation for the role of mentor for the course on Artificial Intelligence Search Methods and Problem Solving in June 2020 Research Publications Kale Preeti, Thengade Anita, Aher Jayshree and Gunjal Anita, “ Analysis of Explainable AI Techniques in a Computer Vision-based Maritime Surveillance System” in Third International Conference on Data Analytics and Learning-2024 (DAL'24) to be held from 12/26/2024 to 12/28/2024.- Accepted in Nov 2024 Gulshan Hariyani, Aniket Singh, Prathamesh Patil, Virag Kothari, Preeti Kale, “Multi-modal based Sentiment Analysis Web Application using Flask and Deep Learning Models,”3rd International Conference on the Paradigm Shifts in Communication, Embedded Systems, Machine Learning and Signal Processing, PCEMS 2024, Accepted and presented on 20th Dec 2024 Shravani Patil, Shreyas Patil, Dhruv Bafna, Preeti Kale and Yashodhan Ramdasi, "English Text to Indian Sign Language Translator using SIGNIFY Algorithm " in Advanced Computing and Communications Conference (ADCOM 2024) at IIIT Bangalore- Accepted and presented on 20th Dec 2024 Kale Preeti A, Manisha Nene "A survey on Network Lifetime Maximization Using Data Aggregation Trees", International Journal of Communication Systems (Wiley); SCIE-Q3, Accepted July 2024 Kale, Preeti A.,Kulkarni Aayush,“QCAFN: A Cloud API Framework Notation for Quantum Supremacy” Indonesian Journal of Electrical Engineering and Informatics, Scopus Q3 Under Review since June 2024 Nirfarake, Chaitanya, Hrishikesh Vaze, Atharva Wagh, Zeeshan Mujawar, and Preeti Kale. "Conversion of Natural Language to SQL Query." In International Conference on ICT for Sustainable Development, pp. 373-386. Singapore: Springer Nature Singapore, 2023., Lecture notes on Networks and Systems, Scopus -Q4, Accepted in Nov 2023 Harshit Choudhary, Aniket Inamdar, Swapnil Kharade, Anunay Maheshwari and Preeti Kale. "Comparative analysis of minimax algorithm with alpha-beta pruning optimization for chess engine", In Computational and Communication Paradigms,Singapore: Springer Nature ; Scopus -Q4, Accepted in Jan 2023 Harshit Choudhary, Aniket Inamdar, Swapnil Kharade, Anunay Maheshwari and Preeti Kale. "Comparative analysis of minimax algorithm with alpha-beta pruning optimization for chess engine", In Computational and Communication Paradigms,Singapore: Springer Nature ; Scopus -Q4, Accepted in Jan 2023 Yadav, Ravi, Sumanth Vullamparthi, Aashi Tapadia, Anand J. Kulkarni, and Preeti Kale. "Probabilistic Harmony Search Algorithm: Fitness Proportionate Selection Variants." In Intelligent Systems and Applications: Select Proceedings of ICISA 2022, pp. 423-433. Singapore: Springer Nature Singapore, 2022; Scopus -Q4 Kale, Preeti A., and Manisha J. Nene. "Brevis factor ρ to evaluate data aggregation tree scheduling heuristics in sensor networks." International Journal of Communication Systems 35, no. 3 (2022): e5034; SCIE-Q3 Pardeshi, Yash K., and Preeti Kale. "Technical Analysis Indicators in Stock Market Using Machine Learning: A Comparative Analysis." In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2021. ISBN:978-1-7281-8595-8, Ingle, Chaitanya, Dev Bakliwal, Jayesh Jain, Preeyesh Singh, Preeti Kale, and Vaibhav Chhajed. "Demand forecasting: Literature review on various methodologies." In 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), IEEE, 2021,ISBN:978-1-7281-8595-8, Kale, Preeti A., and Manisha J. Nene. "Scheduling data aggregation trees to extend network lifetime in sensor networks." International Journal of Communication Systems 33, no. 12 (2020): e4498. SCIE-Q3 Kale, Preeti, and Manisha J. Nene. "Quality aware data aggregation trees in sensor networks." In Intelligent Communication Technologies and Virtual Mobile Networks: ICICV 2019, pp. 557-567. Springer International Publishing, 2020. ISBN-978-3-030-28363-6 Kale, Preeti A., and Manisha J. Nene. "Scheduling of data aggregation trees using local heuristics to enhance network lifetime in sensor networks." Computer Networks 160 (2019): 51-64. SCIE-Q1 Kale, Preeti, and Manisha J. Nene. "Data aggregation trees with QoS in sensor networks." In 2019 IEEE 5th International Conference for Convergence in Technology (I2CT), pp. 1-5. IEEE, 2019. ISBN:978-1-5386-8075-9 Kale, Preeti A., and Manisha J. Nene. "Asymptotic cost estimation for scheduling data aggregation trees in sensor networks." In 2019 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS), pp. 409-414. IEEE, 2019. ISBN:978-1-7281-4826-7 Kale, Preeti, and Jagannath Aghav. "Computation Based Disease Associations in Disease Inference." In IWBBIO, pp. 1694-1704. 2014. Nene, Manisha, Preeti Kale, and Shyamkant Kulkarni. "Routing strategy based firecracker protocol for data dissemination in wireless sensor networks." In Proceedings of the IASTED International Symposium, vol. 635, no. 013, p. 374. Nene, Manisha, and Preeti Kale. "Deployment of routing strategy based firecracker protocol for data dissemination in wireless sensor networks during natural calamities." (2008): 203-210. Patents Indian Patent, - “Quantum Cloud Gateway Device” granted in Dec 2024 UK Patent, - “AI based big data storage device” granted in Feb 2025 Indian Patent, - “An offline smart irrigation system enabled with Machine Learning and Raspberry-PI” published in Aug 2024 Indian Patent,, -A System for hand rehabilitation after stroke through a glove assisted by a simulator band” published in May 2023 South African Patent- “An offline smart irrigation system enabled with Machine Learning and Raspberry-PI” published in April 2024 Consultancy Developed a project in coordination with Innovation club. The project was related to vending machine for student services from exam section Developed the syllabus and conducted a course on Artificial Intelligence for Defence Services Technical Staff Course (DSTSC) at Military Institute of Technology (MILIT) for the Indian Army, Indian Airforce and Indian Navy Officers in Sept 2023,Mar 2022 and Oct 2021. Education and Training July 2021 Defence Institute of Advanced Technology Pune, India, Ph.D. May 2007 Pune Institute of Computer Technology Pune, India M.E Computer Engineering. July 1999 Walchand College of Engineering Sangli, India, B.E. Computer Science and Engineering.