Sr NO	Publication Details
1	Dr.R.R Sedamkar 2020-21 Conference 1.Dr. R. R. Sedamkar, “Prediction of depression using Machine Learning and NLP approach” , ECDSIC 2020, ICICN 2021. 2.Dr. R. R. Sedamkar, “A Comparative Study of Machine Learning Algorithms on Customer E-Commerce Segment with an Optimization Approach”, Multicon IC-ICN-2021 2021-22 Journal 1.Shiwani Gupta,R R Sedamkar,”Consensus of Feature Selection and Reduced Generalization Gap Model”, Journal for Scientific Research,13 Sep 1 2021 UGC Care https://doi.org/10.3329/jsr.v13i3.53290. 2.S. Gupta, R. R. Sedamkar, “Re Imaging of Engineering Education Model to Re-Invent Next Gen Engineers”, Journal of Engineering Education Transforms, Vol 35, Special Issue, Aug 2021. Print ISSN: 2349 – 2473, Online ISSN: 2394 – 1707. DOI: http://dx.doi.org/10.16920/jeet%2F2021%2Fv35i0%2F167014. Double blind peer review Scopus Index 3.S. Gupta, R. R. Sedamkar, “Adam optimized Logistic Regression Model to improve Heart Disease Diagnosis”, ADBU-JET (2021), UGC Care. 4.Swati M Khandare, RR Sedamkar, “Implementation of an Efficient Scheme for Dynamic Channel Allocation Using Intelligent Agent in Mobile Communication”, Novel Perspectives of Engineering Research Vol. 2, Pages 96-106, October, 2021 https://doi.org/10.9734/bpi/nper/v2/13541D PEER RREVIEWED. 2022-23 Odd Sem 1.Dr. R R Sedamkar, Sujata A., “Multiscale Rotation Invariant Local Features Extraction For Hyperspectral Image Classification Using Cnn”, Computing and Communications Engineering in Real-Time Application Development, Apple Academic Press, Sept,2022. 2.Dr. R R Sedamkar, Rajashree Gadhave, Automated Classification of Hyper Spectral Image Using Supervised Machine Learning Approach, Applications of Artificial Intelligence and Machine Learning, Springer, Aug, 2022. 3.Dr. R R Sedamkar, Amrat Mali,”Prediction of depression using Machine Learning and NLP approach”, Intelligent Computing and Networking, Springer, Aug, 2022 2022 – 2023 1.Dr. R R Sedamkar, Sujata A., “Multiscale Rotation Invariant Local Features Extraction For Hyperspectral Image Classification Using Cnn”, Computing and Communications Engineering in Real-Time Application Development, Apple Academic Press, Sept, 2022. 2.Dr. R R Sedamkar, Rajashree Gadhave, “Automated Classification of HyperSpectral Image Using Supervised Machine Learning Approach”, Applications of Artificial Intelligence and Machine Learning, Springer, Aug, 2022. 3.Dr. R R Sedamkar, Amrat Mali,”Prediction of depression using Machine Learning and NLP approach”, Intelligent Computing and Networking, Springer, Aug, 2022. 4.Palak Agarwal, Bhavika Gupta, Disha Devalia, Dr. Rr Sedamkar, "Tracking missing persons using Facial Recognition", ICICN-2023(MULTICON-W), FEB, 2023. 5.Aman Syed, Aditi Varma, Khushi Tiwari, Dr. R.R Sedamkar, "Overcoming the Challenges in Text Processing Applications: A Study of OCR and Text Summarization", ICICN-2023(MULTICON-W), FEB, 2023. 2023 – 2024 1. Yele, V.P., Alegavi, S. & Sedamkar, R.R. Hybrid hesitant fuzzy linguistic bi-objective binary coyote clustering based segmentation and classification for land use land cover in hyperspectral image. Int. j. inf. tecnol. (2023). https://doi.org/10.1007/s41870-023-01576-1 (Scopus) 2. Rajashree Gadhave; R. R. Sedamkar; Sujata Alegavi, Hyperspectral image classification using neural networks with effect of feature optimization on fused convolutional features,AIP Conf. Proc. 2842, 020005 (2023). https://doi.org/10.1063/5.0175906 (Conference) 3. Neha Jain; R. R. Sedamkar, Enhancing trust in a blockchain-based system, AIP Conf. Proc. 2842, 030004 (2023).https://doi.org/10.1063/5.0176007 (Conference)
2	Dr.Sheetal Rathi 2020-21 Odd Sem Conference Vaishali Nirgude, Sheetal Rathi,"An Extensive Survey on Deep Learning Approach for Crop Diseases Management", NABIC 2020: 12th World Congress on Nature and Biologically Inspired Computing, Indexed by Springer, HIS (Hybrid Intelligent Systems), AISC (Advances in Intelligent Systems and Computing) 1375, pp. 638-648 , ISBN 978-3-030-73050-5 (eBook) , https//doi.org/10.1007/978-3-030-73050-5_62, December 14-16, 2020 2020-21 Even Sem Journal 1.Sheetal Rathi, Namrata Deshmukh,”Fruit Disease Prediction and Prevention Using Deep Learning Algorithms”, Research Journal of Agricultural Sciences An International Journal, P- ISSN: 0976-1675, E- ISSN: 2249-4538, Volume: 12 Issue: 03 Res Jr of Agril Sci (2021) 12: 933–936, 28 May 2021. 2.Ravita Mishra, Dr. Sheetal Rathi, “Enhanced DSSM (Deep Semantic Structure Modelling) Technique for Job Recommendation”, Journal of King Saud University, Elsevier(2021) https://authors.elsevier.com/sd/article/S1319-1578(21)0 0185-3 SCOPUS. 3.Ravita Mishra, Sheetal Rathi, “Inductive Learning Approach in Job Recommendation”, Springer LCNS, Recent Advances in Electrical & Electronic Engineering, (Springer Publisher), Nov 2021 (Accepted) https://doi.org/10.1016/j.jksuci.2021.07.018. 4.Vaishali Nirgude, Sheetal Rathi,” A Robust Deep Learning Approach to Enhance the Accuracy of Pomegranate Fruit Disease Detection under Real Field Conditions”, Journal of Experimental Biology and Agricultural Sciences, Scopus Indexed, Open Access, UGC care Journal , 9(6), 863–870. https://doi.org/10.18006/2021.9(6).863.870. 5.Sheetal Rathi, Vaishali Nirgude, “Fostering Progressive Experiential Learning Approach to Make Engineering Students Future Ready”, JEET, Volume 35, Special Issue, January 2022, DOI: 10.16920/jeet/2022/v35i0/167890 2021-22 CONFERENCE Dr. Sheetal Rathi, Sarvesh Tiwari, Suraj Tiwari, Hemant Yadav, “Kisaan Saathi”, IC-ICN 2022, pp. 303-307. 2022-23 1.Dr. Sheetal Rathi, Ravita Mishra, “Enhanced DSSM (deep semantic structure modeling) technique for job recommendation”, Journal of King Saud University-Computer and Information Sciences, Elsevier, 2022. 2.Dr. Sheetal Rathi, PG Magdum, SR Mangle, “Smart Car Parking System Using IoT and Cloud Technology”, Computing and Communications Engineering in Real-Time Application Development, Apple Academic Press, Sept 2022. 3.Dr. Sheetal Rathi, Ravita Mishra, “Enhanced DSSM (deep semantic structure modeling) technique for job recommendation”, Journal of King Saud University-Computer and Information Sciences, Elsevier, 2022. 4.Dr. Sheetal Rathi, PG Magdum, SR Mangle, “Smart Car Parking System Using IoT and Cloud Technology”, Computing and Communications Engineering in Real-Time Application Development, Apple Academic Press, September 2022. 5.Sheetal Rathi, Vaishali Nirgude, ” Exploratory Data Analysis and Optimal Feature Selection on Pomegranate Dataset For Enhancing The Performance Of Pomegranate Disease Prediction”, ANN. FOR. RES., Scopus, SCIE, VOL 65, NO 1 (2022), PAGES 746-764, DOI: 10.5281/zenodo.7238175. 6.Vaishali Nirgude, Sheetal Rathi, “Improving the Accuracy of Real Field Pomegranate Fruit Diseases Detection and Visualization using Convolutional Neural Networks and Grad-CAM”, Journal of Data Analysis Techniques and Strategies, Indexed in Scopus, Inderscience Publishers, fStatus : Accepted. 7.Prajwal Jaiswal, Deep Kothari, Harsh Mishra, Sheetal Rathi, "Music Recommender System using Facial Features Recognition", ICICN-2023(MULTICON-W), FEB, 2023. 8.Niranjan Mehra, Prabhjot Singh, Nilesh Kumawat, Sheetal Rathi, "Food Ordering System Using Route Optimization", ICICN-2023(MULTICON-W), FEB, 2023 2023-24 1. Vaishali Nirgude, Sheetal Rathi i-PomDiagnoser: A Real-Time Pomegranate Disease Management System, International Journal of Information Technology, Sept 2023. (Status: Submitted , Editor Assigned) (Scopus) 2. Sheetal Rathi, B.K.Mishra, Vaishali Nirgude, Developing Progressive Engineering Curriculum for Global Acceptance and Sustainability, Journal of Engineering Education Transformations, Sept 2023. (Status: Accepted) (Scopus) 3. Sayali A Salkade, Sheetal Rathi, Comparative Study and Analysis of Pulmonary Disease Detection and Classification Techniques with Deep Explainable AI, International Journal on Recent and Innovation Trends in Computing and Communication, Oct 2023. (Status: Accepted) (Scopus)
3	Dr. Anand Khandare 2020-21 EVEN CONFERENCE Dr. Anand Khandare, “Design and Development of Clustering Algorithm for Wireless Sensor Network”, IC-ICN-Feb,2021 1.Dr. Anand Khandare, “Novel System for User Targeted Motion Picture Ad Generation by Audio-Visual Impersonation using Generative AI & Cloud”, Multicon IC-ICN-Feb,2021 2.Dr. Anand Khandare,”Design and Development of an intelligent web portal for Training and Placement Cell using Machine Learning”, Multicon IC-ICN-Feb,2021 3.Dr. Anand Khandare, “Design and Development of Enhance Clustering Algorithm for Wireless Sensor Network”, Multicon IC-ICN-Feb,2021 4.Dr. Anand Khandare, “Data Clustering Algorithms: Experimentation & Comparison”, Multicon IC-ICN-Feb,2021 5.Dr Anand Khandare, “A Comparative Study of Clustering Algorithm”, Multicon IC-ICN-Feb,2021 JOURNAL 1.Khandare A., “Enhance clustering algorithm using optimization”, International Journal of Research in Engineering, Science and Management Volume-3, Issue-9, September-2020 journals.resaim.com/ijresm | ISSN (Online): 2581-5792 RESAIM Publishing https://doi.org/10.47607/ijresm.2020.313 2021-22 1.Comparative Analysis of Clustering Algorithms, ISBN: 9781774638361, April 2022, Balas V.E., Semwal V.B., Khandare A. (eds) Intelligent Computing and Networking. Lecture Notes in Networks and Systems, vol 301. Springer, Singapore, January 22 SCOPUS WEB OF SCIENCE. 2.Shete K., Raisharma S., Khandare A., Kharwat G., Patil M., “Strategies for engineering pedagogy to improve peer-based & autonomous-learning through technical student clubs”, Journal of Engineering Education Transformations, Aug 2021, 35, pp. 35–43, Print ISSN: 2349 – 2473, Online ISSN: 2394 – 1707. DOI: http://dx.doi.org/10.16920/jeet%2F2021%2Fv35i0%2F167014. Double blind peer review Scopus Index. 3.Khandare A., Patil M., Furia P.,”Moving towards quality academic project development using program specific research activities in engineering education” Journal of Engineering Education Transformations, Aug 2021, 35(Special Issue), pp. 9–17, Print ISSN: 2349 – 2473, Online ISSN: 2394 – 1707. DOI: http://dx.doi.org/10.16920/jeet%2F2021%2Fv35i0%2F167014. Double blind peer review Scopus Index. 4. Pooja Ravindrakumar Sharma, Anand Khandare, “Design and Development of Clustering Algorithm for Wireless Sensor Network”, Pages 100-110,ISBN: 978-981-16-4863-2 Balas V.E., Semwal V.B., Khandare A. (eds) Intelligent Computing and Networking. Lecture Notes in Networks and Systems, vol 301. Springer, Singapore, January 22. SCOPUS 5.Anand Khandare, Atul Kumar Tiwari, Punit Savlesha, Yash Shetiya, Suraj Naidu, and Karan Salunkhe,”Telecom Customer Churn “ Research Notes on Computing and Communication Sciences, ISBN: 9781774638361, April 2022 UGC care journal. 6.Anand Khandare and Harshali Desai, Comparative Analysis of Clustering Algorithms Research Notes on Computing and Communication Sciences, ISBN: 9781774638361, April 2022 UGC care journal. 7.Valentina Emilia Balas, Vijay Bhaskar Semwal, Anand Khandare, “ Intelligent Computing and Networking, Proceedings of IC-ICN 2021,Lecture Notes in Networks and Systems, Series Volume, 301, eBook ISBN 978-981-15-7421-4, DOI 10.1007/978-981-15-7421-4, Softcover ISBN 978-981-15-7420-7, Series ISSN 2367-3370 , Publisher Springer Singapore,Copyright Dec 2021. 2021-22 CONFERENCE 1.Dr. Anand Khandare, Akash Singh, Vidhi Punjabi, Samiksha Bedekar,”RaktaSeva - An App for Civilians and Blood Banks” IC-ICN 2022, pp. 14-21. 2.Dr. Anand Khandare, Amit Vishwakarma, Harshpal Singh, Wilfred Almeida, Rishabh Shukla, “Crop/Plant Disease Detection Using Deep Learning”, IC-ICN 2022, pp. 366-371. 3.Dr. Anand Khandare, Nipun Agarwal, Amruta Bodhankar, Ankur Kulkarni and Ishaan Mane, “Analysis of Python Libraries for Artificial Intelligence”, IC-ICN 2022, pp. 389-398. 4.Dr. Anand Khandare, Palak Furia, Vaishnavi Gupta, Comparative analysis of different NLP libraries, IC-ICN 2022, pp. 416-422 2022-23 2022-23 1.Dr. Anand Khandare, “Study of python library for NLP”, IJDATS, inderscience. (Scopus) 2.Dr. Anand Khandare, “Telecom Customer Churn”, Apple Academic Press, September, 2022. (Book chapter) 3.Tanmayi Nagale and Dr. Anand Khandare, "Comprehensive Review of Lie Detection in Subject based Deceit Identification", Multicon-ICICN-Feb-2023, Thakur College of Engineering and Technology, Kandivali, Accepted in Intelligent Computing and Networking. Lecture Notes in Networks and Systems, Springer 4.Anand Khandare, Improved Healthcare System using Artificial Intelligence: Technology and Challenges, Applied Computer Vision and Soft Computing with Interpretable AI, ISBN: 9781032417233,Taylor and Francis-CRC-Press,2022 (Book chapter) 5.Anand Khandare, MentoCare: An Improved Mental Healthcare System for Public, Applied Computer Vision and Soft Computing with Interpretable AI, ISBN: 9781032417233,Taylor and Francis-CRC-Press,2022 https://www.taylorfrancis.com/books/edit/10.1201/9781003359456/applied-computer-vision-soft-computing-interpretable-ai-swati-shinde-darshan-medhane-oscar-castillo 6.Mugdha Sawant, Anand Khandare, Srushti Sankhe, Aaryan Saygaonkar, Kartik Shah, "Analysis of Healthcare System using Classification Algorithms", ICICN-2023(MULTICON-W), FEB, 2023. 7.Veena Kulkarni, Anand Khandare, "Study of multimodal remote sensing data", ICICN-2023(MULTICON-W), FEB, 2023 2023-24 1. Nagale, T., Khandare, A. (2023). Comprehensive Review of Lie Detection in Subject Based Deceit Identification. In: Balas, V.E., Semwal, V.B., Khandare, A. (eds) Intelligent Computing and Networking. IC-ICN 2023. Lecture Notes in Networks and Systems, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-99-3177-4_7 (Scopus) 2. Kulkarni, V., & Khandare, A. . (2023). Enhanced Approach for Bug Severity Prediction: Experimentation and Scope for Improvements. International Journal on Recent and Innovation Trends in Computing and Communication, 11(7), 118–126.https://doi.org/10.17762/ijritcc.v11i7.7836 (Scopus)
4	Dr.Rashmi Thakur CONFERENCE 1.Shivam Tripathi, Harsh Ramani, Ritam Singhvi, Dr Rashmi Thakur, “Detecting Incidents Of CyberBullying Using Deep Learning”, Multicon IC-ICN-2021 2.Rashmi Thakur, Jeet Inani, Rutik Ambre, Akshat Jain, “Opinion Mining of Restaurant Reviews using Naive Bayes Algorithm”, Multicon IC-ICN-2021 3.Dr. Rashmi Thakur, “Book Recommendation System using Machine Learning”, Multicon IC-ICN-2021 2020-21 EVEN JOURNAL Nidhi Kamothi, Rashmi Thakur, “Detection of diabetic retinopathy using transfer learning approach ”, BIOINFOLET, Volume 18,issue.1a, ISSN:0976-4755, January-March 2021.
5	Dr. Harshali Patil 2020-21 CONFERENCE 1.Dr. Harshali P. patil, “Crop and Fertilizer Recommendation System using Machine Learning”, Multicon IC-ICN-2021 2.Dr. Harshali P. patil, “Detection of Fake News Using Machine Learning Techniques”, Multicon IC-ICN-2021 Dr. Harshali P. patil, “Unified Communication Interface for Remote Teams to Drive Productivity”, Multicon IC-ICN-2021 3.Dr. Harshali P. patil, “An Enhanced Approach for Air Quality Forecasting using Machine Learning”, Strad Research ,doi.org/10.37896/sr8.5/035 ,ISSN 0039-2049.2021 4. Dr. Harshali Patil,kajal jaiswal,”The Study Using Ensemble Learning for Recommending Better Future Investments”,International Conference on Intelligent Systems and Communication Networks (IC-ISCN 2020) 5.Harshali Patil, Jesal varolia, Deepali Joshi, ”Teaching Learning Methods Shift and its Impact during Pandemic”,EQDC-2021 at Thakur College of Engineering & Technology 2020-21 JOURNAL 1.Dr. Harshali Patil, kajal jaiswal,”Comparative Analysis of Regression Methods for Recommending Better Investments in Property”,STRAD Research, Volume 7, Issue 9, September-2020 http://stradresearch.org/ Volume-7-Issue-9-2020.(UGC Care Group II Journal,Web of science) 2.Dr. Harshali Patil, kajal jaiswal,“The Study Using Ensemble Learning for Recommending Better Future Investments”,International Journal of Advanced Research in Computer Science, Volume 11, Issue IV, Nov – Dec 2020) 3.Dr. Harshali Patil, Tarunima Mukherjee,”An Enhanced Approach for Air Quality Forecasting Using Machine Learning “,Strad Research,https://doi.org/10.37896/sr8.5/035 ,ISSN: 0039-2049,VOLUME 8, ISSUE 5, 2021.(UGC Care Group II Journal, Web of science) 4.H.P.Patil, Lakshmi jha,”A Comprehensive Study and possible Solutions on Hostel management System”,AAP Chapter 2021-22 JOURNAL 1.Dr. Harshali Patil, Jesal V., Deepali Joshi, “Teaching Learning Methods’ shift and its impact during pandemic” to national Symposium on One day National Symposium on the theme “Enhancing Quality & driving change in Higher & Technical Education through NEP-2020 (UGC care list journal of engineering Education & Transformation (JEET with ISSN:2349-2473 & E-ISSN:2394-1707 (indexed in Scopus and EBSCO)) DOI: 10.16920/jeet/2021/v35i0/167016 , Vol 35, No SP (2021), Pagination: 18-26, Published: 2021-08-31, https://doi.org/10.16920/jeet%2F2021%2Fv35i0%2F167016 2021-22 CONFERENCE 1.Dr. Harshali Patil, Shubham Pandey, Shreyansh Shukla and Urvi Shukla, “Machine Learning and Blockchain – An Emerging Technology for Credit Card Fraud Detection and Prevention”, IC-ICN 2022, PP. 54-61. 2.Dr. Harshali Patil, Aakanksha Agrawal, Jinal Jain, Shweta Gupta, “ESTABLISHMENT OF MARKETPLACE AND DISPOSAL ASSISTANCE FOR CONTROLLING STUBBLE BURNING”, IC-ICN 2022, PP. 102-107. 3.Dr. Harshali Patil, Anurag Singh, Harsh Singh, Aayushi Sarda, “Covalent - A Start-up Networking Portal”, IC-ICN 2022, pp. 539-545 2022-23 1.Dr. Harshali Patil, “Statistical Data Analysis using GPT3: An Overview”, IEEE XPLORE, 2022. 2.Dr. Harshali Patil, Deepali Joshi, “Impact of Covid on Emotional Well-being of people using Machine Learning Approach”, IJCTE, Scopus Indexed Journal. 3.Dr. Harshali Patil, Sayali Salkade, “Recent trends in Assessment techniques and novel approach for assessment using 3-2-1 methodology”, Journal of Engineering Education Transformations, 2022. 4.Ashwin Sharma; Disha Devalia; Wilfred Almeida; Harshali Patil, Aniket Mishra, “Statistical Data Analysis using GPT3: An Overview”, IEEE XPLORE, 2022 IEEE Bombay Section Signature Conference (IBSSC), 10.1109/IBSSC56953.2022.10037383, 14 February 2023 5.Dr. Harshali Patil, “Design and Development of Stubble Selling and Assistance Application”, Apple Academic Press, September, 2022. (Book chapter) 6.Dr. Harshali Patil, Loukik Salvi, “Water conservation in residential areas using ensemble techniques”, IJEAT, December, 2022. 7.Dr. Harshali Patil, Loukik Salvi, “Applied Data Science”, TechKnowledge Publication, ISBN:978-93-5563-341-5, February, 2023. (Book) 8.Raviranjan Prasad, Sumit Pandey, Abhishek Mishra, Dr. Harshali Patil, "Augment Reality based E-commerce Application", ICICN-2023(MULTICON-W), FEB, 2023. 9.Rohit Pandey, Yash Dubey, Yash Sakpal, Ankur Pandey, Dr. Harshali Patil, "Intelligent Refrigerator using IOT", ICICN-2023(MULTICON-W), FEB, 2023. 10.Nazifa Ahmedi, Dipesh Jain, Jash Agrawal, Dr. Harshali Patil, "Food Helper for Needy", ICICN-2023(MULTICON-W), FEB, 2023. 11.Raj Walnekar, Aakash Yadav, Manishkumar Vishwakarma, Dr. Harshali Patil, "App Development for Vaccination Tracking and Record Words", ICICN-2023(MULTICON-W), FEB, 2023. 12.Drashti Shrimal, Harshali Patil, "A Survey of Methodologies used in Explainable Recommendation Systems", ICICN-2023(MULTICON-W), FEB, 2023. 13.Tarunima Mukherjee, Dr. Harshali Patil, "Edge Computing & Emerging Applications", ICICN-2023(MULTICON-W), FEB, 2023. 14.Pratiksha Deshmukh,Harshali Patil,”Machine Learning based Detection of Depression and Anxiety using Voice Recognition”, International Conference on Communications,Computing & Data Science (IC-CCDS),Feb 2023 15.Harshali Patil ,Dipesh Jain, Nazifa Ahmedi , Jash Agrawal , ,”Meal Match Bridging the Gap between Food Waste and Hunger”, International Journal of Innovative Research in Technology (IJIRT), Volume 9, Issue 10, ISSN: 2349-6002, March 2023. 16.Deepali Joshi,Harshali Patil,” Detection of Impact of Covid-19 Pandemic on Emotional Well-being of People using Machine Learning Approach”, International Journal of Novel Research and Development (IJNRD),volume 8,Issue 4,ISSN:2456-4184,April 2023 17.Huda Khan, Harshali Patil ,” Effective Teaching Assessment Model: Utilizing the Kirkpatrick Evaluation Framework”, International Journal of Creative Research Thoughts (IJCRT), Volume 9, Issue 10, ISSN: 2320-2882, March 2023. 18.Drashti Shrimal, Harshali Patil, “Opacity to Transparency: A Journey into Explainable Recommender Systems”, INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY, Volume 10, Issue 1, pp. 1617-1626, ISSN: 2349-6002, June 2023. (UGC) 19.Deepali Joshi,Harshali Patil,” Survey Paper on Detection & Analysis of Alzheimer’s Disease”, International Conference on Intelligent Computing and Networking (IC-ICN 2023) 20.Harsh Jha,Vedika Mandre, Ankit Maurya, Nikhil Pal, Harshali Patil” Online Monitoring Dashboard for Project Management”, , International Conference on Intelligent Computing and Networking (IC-ICN 2023) 21.Harshali Patil,Lydia Suganya,BK. Mishra'' Best Practice :Innovative Placement Policy for Campus Recruitment of Engineering Students TCET campus Placement Policy for students``,ICHSTE,Feb 2023 22.Hiteshu Jani, Pawan Kumar Jha, Kanak Pandit, Puneet Pandey,Dr.Harshali Patil,”Application of Apriori, Eclat, and FP-Growth Algorithms in Real-World Market Basket Analysis Scenarios”, ", International Conference on Intelligent Computing and Networking (IC-ICN 2023) 24.Harshali Patil , Vedant Pol , Aditya Prajapati , Dhara Modi, Ayush Pandey “Artificial Intelligence in Career Development: Insights and Findings” , International Conference on Intelligent Computing and Networking (IC-ICN 2023) 2023-24 1. Deepali Joshi, Harshali Patil, Automatic Classification of Mango Leaf Disease based on Machine Learning and Deep Learning Techniques, IJRITCC, October 2023. (Status: Accepted) (Scopus) 2. Pratiksha Deshmukh, Harshali Patil, A Comprehensive Review on Machine Learning Algorithms, IJISAE, October 2023 (Status: Accepted) (Scopus)
6	Dr.Shiwani Gupta ODD 2020-21 CONFERENCE 1.Aynaan Quraishi, Jaydeep Jethwa, Shiwani Gupta, “Generalized Approach for Accurate Breast Cancer Diagnosis”, EConference on Data Science and Intelligent Computing (ECDSIC), Nov. 2020. 2.Harshali Desai, Shiwani Gupta, “Movie Recommendation System through Movie Poster using Deep Learning technique”, EConference on Data Science and Intelligent Computing (ECDSIC), Nov, 2020. 3.Anurag Tiwari, Rameshta Vishwakarma, Kartik Rawool, Shiwani Gupta, “Sentiment analysis of covid-19 tweets”, EConference on Data Science and Intelligent Computing (ECDSIC), Nov, 2020. JOURNAL 1.Shiwani Gupta, “Design of Video Surveillance System using Neural Networks”, Strad Research, Volume-8-Issue-1, 2021 WebOfScience. 2.R. R. Sedamkar, Shiwani Gupta, “Genetic Algorithm for feature selection and parameter optimization to enhance accuracy for healthcare data”, SpringerNature Singapore, Lecture Notes in Networks and Systems, Book Series Theme Intelligent Computing and Networking, “Algorithms for Intelligent Systems (AIS), Vol 146 ISSN 25247565, Jan, 2021, Scopus Indexed https://doi.org./10.1007/978-981-15-7421-4_2 146 11-252020. ODD 2021-22 JOURNAL 1.S. Gupta, R. R. Sedamkar, “Consensus of Feature Selection methods and Reduced Generalization Gap Model to improve Diagnosis of Heart Disease”, Journal of Scientific Research Vol. 13 No. 3 (2021), UGC Care https://doi.org/10.3329/jsr.v13i3.532 2.S. Gupta, R. R. Sedamkar, “Re Imaging of Engineering Education Model to Re-Invent Next Gen Engineers”, Enhancing Quality & Driving change in Higher & Technical Education Through NEP -2020 EQDC 2021, Journal of Engineering Education Transforms, Vol 35, Special Issue, Aug 2021. Print ISSN: 2349 – 2473, Online ISSN: 2394 – 1707. DOI: http://dx.doi.org/10.16920/jeet%2F2021%2Fv35i0%2F167014. Double blind peer review Scopus Index. 3.S. Gupta, R. R. Sedamkar, “Adam optimized Logistic Regression Model to improve Heart Disease Diagnosis”, ADBU-JET (31st Dec 2021), UGC Care. ISSN: 2348-7305. 4.Arul Shalom, Shiwani Gupta, “An innovative method of automated content evaluation using Soft Computing Technique”, International Journal of Engineering Research & Technology, ISSN: 2278-0181, Vol.11, Issue 05, May 2022. 2021-22 CONFERENCE 1.Shiwani Gupta, Anurag, Esha, Nitisha, Rahul, “Semantic similarity and autonomous tagging on Q&A forum”, ECDSIC 2021. 2.Shiwani Gupta, Anurag, Kartik, Rameshtha, “Intelligent Video Surveillance System for Real-time Crowd Analysis Using Machine Learning Techniques”, ECDSIC 2021. 3.Shiwani Gupta, Rishabh Chopda, Aayan Khan, Anuj Goenka, Dakshal Dhere, “An Intelligent Voice Assistant Engineered to Assist the Visually Impaired”, IC-ICN 2022, pp. 372-382. 2022-23 ODD SEM 1.Shiwani Gupta, Namrata D. Deshmukh, Book: Computing and Communication Engineering in Real Time Application Development, Chapter: Quantum Computing to enhance performance of Machine Learning, Apple Academic Press, Sep 2022 ISBN 9781774638361. Copyright 2.S. Gupta, R. R. Sedamkar, “Performance evaluation of Machine Learning Algorithms for improving diagnostic accuracy”, copyright.gov.in, Diary No. 5859/2022-CO/L. Status: approved Patent 1.S. Gupta, R. R. Sedamkar, “An adaptive multistage mathematical system to improve diagnostic performance”, German Patent Office, Application No. 202022101501, Date of Application: 22/3/2022, Date of Grant: 16/06/2022 2.Dakshal Dhere, Rishabh Chopda, Aayan Khan, Anuj Goenka, Shiwani Gupta, Alisha Gupta, “Smart assistant to aid walking and vocally assist the visually impaired user”, Application No. 202221005948 A, Date of filing 3/2/2022, Date of publication 25/2/2022 2022-23 EVEN SEM 1.Arul Shalom, Shiwani Gupta, “Automated short answer evaluation using Natural language Processing and Lemmatization”, Equinox 2022, 7th International Conference on Engineering Research and Innovations Scopus, Web of Science. 2.Karthik Kaimaparambil, Yash Kale, Sandeep Mourya, Shrenik Nair, Dr. Shiwani Gupta, “Comparative study of text summarization techniques”, ICICN, MulticonW 2023 3.Anshu Bhagat, Dineshkumar Choudhary, Sumeet Dubey, Dr. Shiwani Gupta, “Automated Assessment of Mental Disorder using speech as Biomarker”, ICICN, MulticonW 2023 4.Mitanshu Dodia, Maanav Chetty, Dhwani Dedhia, Shiv Dixit, “Digitizing handwritten prescription”, ICICN, MulticonW 2023 5.Maitri Vaghasiya, Yashvi Vaghasiya, Abhay Vishwakarma, Diya Vora, “Fake Multimedia detection”, ICICN, MulticonW 2023 6.Yash Dubey, Rushikesh Gharat, Samruddhi Gujar, Vijay Dubey, “Analysis of Hinglish Content” ICICN, MulticonW 2023 7.Rishabh Chopda, Aayan Khan, Dakshal Dhree, Shiwani Gupta, “An intelligent voice assistant engineered to assist the visually impaired”, ICICN, MulticonW 2023. 8.Tejas Borkar, Harshit Daga, Hitansh Doshi, Shiwani Gupta, “Comparing GRU and LSTM Performance”, ICICN, MulticonW 2023. 9.Aynaan, Jaydeep, “Synthetic Audio and Video Generation for Language Translation using GANs”, ICICN, MulticonW 2023. 10.Shiwani Gupta, Foram Shah, “Effective classroom engagement through effective informal Formative Assessment”, ICICN, MulticonW 2023 JOURNAL Chopda, R., Khan, A., Goenka, A., Dhere, D., Gupta, S. (2023). An Intelligent Voice Assistant Engineered to Assist the Visually Impaired. In: Balas, V.E., Semwal, V.B., Khandare, A. (eds) Intelligent Computing and Networking. Lecture Notes in Networks and Systems, vol 632. Springer, Singapore. https://doi.org/10.1007/978-981-99-0071-8_12 2023-24 1. Alegavi, S. S. ., Nemade, B. ., Bharadi, V. ., Gupta, S. ., Singh, V. ., & Belge, A. . (2023). Revolutionizing Healthcare through Health Monitoring Applications with Wearable Biomedical Devices. International Journal on Recent and Innovation Trends in Computing and Communication, 11(9s), 752–766. https://doi.org/10.17762/ijritcc.v11i9s.7890 (Scopus) 2. Prof. R. M. Baphana, Dr. Shiwani Gupta, Dr. Sujata Alegavi, "Deep Learning", TechNeo publications. (Book)
7	Dr. Rekha Sharma 2020-21 CONFERENCE 1.Dr. Rekha Sharma, “A Real-time Object Detection System for Visually Impaired Using Deep Learning”, Multicon IC-ICN-2021 2.Dr. Rekha Sharma, Blockchain Based System for charity and donation tracking, Multicon IC-ICN-2021 3.Dr. Rekha Sharma, “Kisan Setu: Implementing System for Guiding Farmer”, Multicon IC-ICN-2021 2021-22 Journal Kirthikraj Kamaraj, Jatin Shah, Radhika Makharia, Dr. Rekha Sharma,” Student-Faculty Portal using ML and Cloud Services”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor:7.429 Volume 9 Issue XI Nov 2021. UGC https://doi.org/10.22214/ijraset.2021.38959. 2021-22 CONFERENCE 1.Dr. Rekha Sharma, Rishabh Shukla, Shubham Singh, Cindrella Verma, “learnEZ: An Online Learning Platform” IC-ICN 2022, pp. 41-45. 2022-23 1.Hrishikesh Joshi, Aryan Kawli, Kartik Kounder, Dr, Rekha Sharma, "Entertainment Assistant for the Digital Inclusion of Elderly People", ICICN-2023(MULTICON-W), FEB, 2023. 2.Riya Vishwakarma, Ujwal Yadav, Aniket Vishwakarma, Rekha Sharma, "Design of CRMSOFT: A customer relationship management system using Analytical tools.", ICICN-2023(MULTICON-W), FEB, 2023. 3.Shreyash Damania, Shivam Dubey, Mihir Jain, Rekha Sharma, "Battery Operated and Wi-Fi Enabled Sensor Data Transmission Firmware Using ESP-IDF For HVAC Devices", ICICN-2023(MULTICON-W), FEB, 2023. 4.Riya Vishwakarma, Ujwal Yadav, Aniket Vishwakarma, Rekha Sharma, "Design of CRMSOFT: A customer relationship management system using Analytical tools'', NOVYI MIR Research Journal, Vol. 8 ISSUE 5 2023. (ISSN NO: 0130-7673). 5.Hrishikesh Joshi, Aryan Kawli, Kartik Kounder, Dr. Rekha Sharma, “Entertainment Assistant for the Digital Inclusion of Elderly People”, NOVYI MIR Research Journal, Vol. 8 ISSUE 5 2023. (ISSN NO: 0130-7673).
8	Dr. Manish Rana 2020-21 CONFERENCE M. Rana, “GRADIFY:Analysis of Twitter Account using Classification Algorithm”, Multicon IC-ICN-2021 2022-23 1.Dr. Manish Rana, Daksh Ailawadi, Nipun Agarwal, Parth Agarwal, “BRAIN TUMOR DETECTION & SEGMENTATION USING DEEP LEARNING”, I-manager’s Journal on Computer Science, Vol. 10 lNo. 2, August 2022. 2.Dr. Manish Rana, Diya Vora, Yashvi vaghasiya, Neha Yadav, “Language Detection using Multinomial naive Bayes Algorithm”, I-manager’s Journal on Computer Science, Vol. 10 lNo. 2, August 2022. 3.Dr. Manish Rana, Gunjan Gaur, Naman Bangad, Siddhi Jain, “Gradify: Analysis of Twitter account using classification algorithm”, I-manager’s Journal on Computer Science, Vol. 10 lNo. 2, August 2022. 4.Tanuj Shankarwar, Atharva Kulkarni, Siddharth Thorat, Manish Rana, "Personality Prediction System via CV analysis using Machine Learning", ICICN-2023(MULTICON-W), FEB, 2023. 5.Khushi Bhoj, Kuldeep Choksi, Rishi Kitawat, Dr. Manish Rana, "Review of Facial Recognition and Detection Technologies", ICICN-2023(MULTICON-W), FEB, 2023. 6.Daksh Ailawadi, Nipun Agarwal, Parth Agarwal, Dr. Manish Rana, "Brain Tumor Detection & Segmentation using Deep Learning", ICICN-2023(MULTICON-W), FEB, 2023
9	Mrs. Vaishali Nirgude 2020-21 ODD CONFERENCEMrs. Vaishali Nirgude, “Prediction and Recommendation of Public Health Risks using Sentiment Analysis of Restaurant Reviews”, Multicon IC-ICN-2021. 2.Vaishali Nirgude,”Implementing a System of Automated Resume Evaluation Using NLP & ML”, ICICN-Multicon-W, feb 2021. 3.Vaishali Nirgude,”Implementing a system for yield prediction using machine learning approach”, ICICN-Multicon-W, feb 2021. 4.Vaishali Nirgude, Sheetal Rathi “Fostering Progressive Experiential Learning Approach to Make Engineering Students Future Ready,” EQDC-2021, 27th April 2021. 2020-21 Journal 1.Vaishali Nirgude, Sheetal Rathi,” A Robust Deep Learning Approach to Enhance the Accuracy of Pomegranate Fruit Disease Detection under Real Field Conditions”, Journal of Experimental Biology and Agricultural Sciences, Scopus Indexed, Open Access, UGC care Journal , 9(6), 863–870. https://doi.org/10.18006/2021.9(6).863.870. 2.Sheetal Rathi, Vaishali Nirgude, “Fostering Progressive Experiential Learning Approach to Make Engineering Students Future Ready”, JEET, Volume 35, Special Issue, January 2022, DOI: 10.16920/jeet/2022/v35i0/167890 2021-22 CONFERENCE 1.Vaishali Nirgude, Munazza Gaoher, Asmita Gawde, Rutika Pawar,“Performance Analysis of Crop Yield Prediction using Data Mining Techniques”, IC-ICN 2022, PP. 79-83. 2.Vaishali Nirgude, Jay Jain, Satyam Singh, Shubham Joshi, “Bicycle Sharing System”, IC-ICN 2022, PP. 84-89. 2022-23 1.Vaishali Nirgude, Sheetal Rathi, “Improving the Accuracy of Real Field Pomegranate Fruit Diseases Detection and Visualization using Convolution Neural Networks and Grad-CAM”, Journal of Data Analysis Techniques and Strategies, Indexed in Scopus, Inderscience Publishers, Status : Accepted. 2.Vaishali Nirgude, Sheetal Rathi,” Exploratory Data Analysis and Optimal Feature Selection on Pomegranate Dataset for Enhancing The Performance Of Pomegranate Disease Prediction”, ANN. FOR. RES., Scopus, SCIE, VOL 65, NO 1 (2022), PAGES 746-764, DOI: 10.5281/zenodo.7238175. 3.Vaishali Nirgude, Yash Sharma, Eshan Save, Omkar Shetty,”One Framework to Detect Them All: A CrossIndustry Object Detection System Using Detectron “,TIJER || ISSN 2349-9249 || © April 2023 Volume 10, Issue 4 || www.tijer.org, UGC approved Journal. 4.Eshan Save, Yash Sharma, Omkar Shetty, Vaishali Nirgude, "Object Detection and Tracking in Granular DL Networks", ICICN-2023(MULTICON-W), FEB, 2023. 5.Steve Joseph, Aniket Singh, S. Harish Krishnan, Vaishali Nirgude, "Review of developmental strides towards the edutainment domain", ICICN-2023(MULTICON-W), FEB, 2023. 6.Yash Acharya, Naman Baranwal, Amrita Gupta, Vaishali Nirgude, "Digitization and Real Time Translation of Oral and Written Material of Indian Languages", ICICN-2023(MULTICON-W), FEB, 2023. 2023-24 1. Vaishali Nirgude, Sheetal Rathi i-PomDiagnoser: A Real-Time Pomegranate Disease Management System, International Journal of Information Technology, Sept 2023. (Status: Submitted , Editor Assigned) (Scopus) 2. Sheetal Rathi, B.K.Mishra, Vaishali Nirgude, Developing Progressive Engineering Curriculum for Global Acceptance and Sustainability, Journal of Engineering Education Transformations, Sept 2023. (Status: Accepted) (Scopus)
10	Mr.Vikas Singh Shivam Sharma, Prithvi Sharma, Vikas Singh, “Stock Market Price Prediction using Machine Learning”, Multicon IC-ICN-2021
11	Mrs. Lydia Suganya Ameya Adam, Samrin Khan, Meet Mehta, Lydia Suganya, “House Price Prediction using Linear Regression Algorithm”, International Conference on Intelligent Computing and Networking (IC-ICN-2021), February 2021
12	Ms.Veena Kulkarni 2019-20 JOURNAL . 1.Mrs. Veena Kulkarni., “Image classification of Fashion-MNIST dataset using CNN”, in International Journal of Scientific Research and Engineering Trends, ISSN (Online): 2395-566X, Vol. 7 Issue 1, Dec, 2020. 2.Mrs. Veena Kulkarni., “Image classification of Fashion-MNIST dataset using CNN”, in IJEAST, Paper ID: IJEAST - 9984, Vol. 1 Issue 1, Dec, 2020. Mrs. Veena Kulkarni. “Group Key Management Protocol for securing a SCADA system” International Journal of Engineering Research and Technology (IJERT) 10.17577/IJERTV8IS060477 2020-21 CONFERENCE 1.Veena Kulkarni, “Bug Tracking System with severity prediction and triage assistance”, Multicon IC-ICN-2021 2.Veena Kulkarni, Pneumonia Detection using Deep Learning Approach, International Conference on Intelligent Computing and Networking (IC-ICN-2021), MULTICON-W 2021 2020-21 JOURNAL 1.Mrs. Veena Kulkarni. ”Group Key Management Protocol for securing a SCADA system” International Journal of Engineering Research and Technology 2.Veena Kulkarni,” Pneumonia Detection using Deep Learning Approach”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) ISSN: 2321-9653; IC Value: 45.98; SJ Impact Factor: 7.429 Volume 9 Issue IV Apr 2021 2022-23 1.Mrs. Veena Kulkarni, Dhruv Agrawal, Priyansh Shah “Bug Tracking System with severity prediction and triage assistance”, International Journal of Advanced Research in Computer and Communication Engineering,Vol. 11, Issue 8, August 2022 DOI: 10.17148/IJARCCE.2022.11825 2.Veena Kulkarni, Anand Khandare, "Study of multimodal remote sensing data", ICICN-2023(MULTICON-W), FEB, 2023. 3.Adarsh Singh, Abhishek Kumar Singh, Gaurav Rana, Veena Kulkarni, "ERP System Implementation", ICICN-2023(MULTICON-W), FEB, 2023. 4.Kunal Bhatt, Prathamesh Bagal, Shantanu Jadon, Veena Kulkarni, "Nintendo Sales Prediction Based on Online Sentiment", ICICN-2023(MULTICON-W), FEB, 2023. 2023-24 1. Kulkarni, V. ., & Khandare, A. . (2023). Enhanced Approach for Bug Severity Prediction: Experimentation and Scope for Improvements. International Journal on Recent and Innovation Trends in Computing and Communication, 11(7), 118–126. https://doi.org/10.17762/ijritcc.v11i7.7836 (Scopus)
13	Mr. Shailesh Sangle 2020-2021 CONFERENCE 1.Shailesh Sangle, “Dual Sentiment Analysis on Twitter data using Machine Learning Approach”, Multicon IC-ICN-2021 2.Shailesh Sangle, “Brain Tumor Detection Using MRI scans with the help of CNN”, Multicon IC-ICN-2021 2021-22 CONFERENCE Ashwini Patil and Shailesh Sangle, “Mining Reasons Behind Public Sentiment Variations on Social Media”, IC-ICN 2022, pp. 383-388. 2022-23 1.Mihir Gharat, Palak Kabra, Dhiraj Jha, Shailesh Sangle, "Image Meaning Extraction to Aid Visual Learning", ICICN-2023(MULTICON-W), FEB, 2023. 2.Priyal Todi, Aakash Vishwakarma, Amay Sharma, Shailesh Sangle, "Design and Development of Digital Multimedia (Image) Forgery Detection System", ICICN-2023(MULTICON-W), FEB, 2023. 3.Shailesh Sangle, "Blockchain Technology: A Comprehensive Review of its Principles, Applications, and Challenges", ICICN-2023(MULTICON-W), FEB, 2023.
14	Ms.Ashwini Patil 2021-22 Ashwini Patil and Shailesh Sangle, “Mining Reasons Behind Public Sentiment Variations on Social Media”, IC-ICN 2022, pp. 383-388. 2022-23 1.Prerak Khandelwal, Aaryan Pimple, Devang Punatar, Ashwini Patil, "Facial Emotion Recognition for Feedback using Convolutional Neural Networks", ICICN-2023(MULTICON-W), FEB, 2023. 2.Amiya Jha, Rohit Jaiswar, Yashraj Jha, Ashwini Patil, "Number Plate Recognition System", ICICN-2023(MULTICON-W), FEB, 2023. 3.Bhaskar Singh, Keval Surani, Aman Singh, Ashwini Patil, "Personalized Recommender for Social Media Advertisement", ICICN-2023(MULTICON-W), FEB, 2023. 4.Ashwini Patil, "Explainable AI: A Comprehensive Review", ICICN-2023(MULTICON-W), FEB, 2023. 2023-24 1. A.Patil, M.Patil, A Comprehensive Review on Explainable AI Techniques, Challenges, and Future Scope. In: Balas, V.E., Semwal, V.B., Khandare, A. (eds) Intelligent Computing and Networking. IC-ICN 2023. Lecture Notes in Networks and Systems, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-99-3177-4_39 (Scopus) 2. Ashwini Patil, Megharani Patil, Performance Analysis of Deep-Learning and Explainable AI Techniques for Detecting and Predicting Epileptic Seizures, International Journal on Recent and Innovation Trends in Computing and Communication, Sept 2023. (Status: Accepted) (Scopus)
15	Mrs.Deepali Joshi 2021-22 1. Ms. Deepali Joshi, “Teaching Learning Methods’ shift and its impact during pandemic”, National Symposium on theme Enhancing quality and driving change in higher & technical education through NEP 2020, Journal of Engineering Education Transformations (JEET) a UGC Care journal, ISSN:2349-2473 and E-ISSN: 2394-1707, DOI: 10.16920/jeet/2021/v35i0/167016, Volume 35, Index in Scopus and EBSCO 2022-23 1.Deepali Joshi,Dr. Harshali Patil, “Impact of Covid on Emotional Well-being of people using Machine Learning Approach”, IJCTE Scopus Indexed Journal. 2. Ms. Deepali Joshi, “Detection of Impact of Covid-19 Pandemic on Emotional well being of people using Machine Learning Approach”, Volume 8, Issue 4 April 2023 | ISSN: 2456-4184 | IJNRD.ORG 2023-24 1. Deepali Joshi, Harshali Patil, Automatic Classification of Mango Leaf Disease based on Machine Learning and Deep Learning Techniques, IJRITCC, October 2023. (Status: Accepted) (Scopus)
16	Mr. Loukik Salvi 1.Loukik Salvi, Ashish Jadhav, “Annual Rainfall prediction of Maharashtra state using multiple regression models”, IC-ICN 2022. 2.Dr. Harshali Patil, Loukik Salvi, “Water conservation in residential areas using ensemble techniques”, IJEAT, December, 2022. (UGC Approved) 3.Dr. Harshali Patil, Loukik Salvi, “Applied Data Science”, TechKnowledge Publication, ISBN:978-93-5563-341-5, February, 2023. (Book)
17	Ms. Foram Shah 2021 - 22 Adil Shaikh, Aniket Mishra, Meenu Bhatia and Foram Shah, Mr. Aniket Mishra, “Clickbait Detection Using Deep Learning Approach: A Survey”, ICICN February 2022, pp. 481-484. 2022-23 Foram Shah, Safa Umatia, Aditi Varma2, Aman Syed, Khushi Tiwari, “Text Recognition from Images”, IJRASET, ISSN: 2321-9653; Volume 10, November 2022. 2022-23 Foram Shah, Safa Umatia, Aditi Varma, Aman Syed, Khushi Tiwari, “Text Recognition from Images”, IJRASET, ISSN: 2321-9653; Volume 10, November 2022.
18	Ms. Tanmayi Nagale 2022-23 1.Tanmayi , “Improvement of Makespan and TCTime in Dynamic Job Ordering and Slot Utilization for MapReduce Workloads”, IC_ICN 2022. 2.Tanmayi Nagale, "Optimization of Big data for MapReduce Workloads in Job Scheduling on Virtualized Heterogeneous Environments: Review", E-Conference on Data Science and Intelligent Computing:Theory, Application and Research Opportunities (EC-DSIC 2022), November 2022. 3.Nayan Akbari, Aakash Singh, Akshay Ganesh, Sanvi Agnihotri, Tanmayi Nagale, “Innovative Low Cost Music Synthesizer using FPGA”, Multicon-ICICN-Feb 2023, Thakur College of Engineering and Technology, Kandivali 4.Tanmayi Nagale, "Identification of ClickJacking Attack using IFrame", IJCRT, ISSN : 2320-2882, Volume 11 - Issue 4- e65-e69, April 2023 5.Tanmayi Nagale and Dr. Anand Khandare, "Comprehensive Review of Lie Detection in Subject based Deceit Identification", Multicon-ICICN-Feb 2023, Thakur College of Engineering and Technology, Kandivali, Accepted in Intelligent Computing and Networking. Lecture Notes in Networks and Systems, Springer (Book Chapter) 2023-24 20. Nagale, T., Khandare, A. (2023). Comprehensive Review of Lie Detection in Subject Based Deceit Identification. In: Balas, V.E., Semwal, V.B., Khandare, A. (eds) Intelligent Computing and Networking. IC-ICN 2023. Lecture Notes in Networks and Systems, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-99-3177-4_7 (Scopus)
19	Mrs.Drashti Shrimal 2020 - 2021 Dr. Harshali Patil, Drashti Shrimal, “A Qualitative Approach to Customer Segmentation and Customer Churn Application, Volume 2, Issue 4, International Journal of Advances in Engineering and Management, 2020.(UGC approved) 2021-2022 Dr. Harshali Patil, Drashti Shrimal, “Hybridization of Big Data Analytics, Convolution Neural Networks and Recommendation Techniques for Healthcare Applications”, ICICN February2022. 2022-23 1.Drashti Shrimal, Harshali Patil, "A Survey of Methodologies used in Explainable Recommendation Systems", ICICN-2023(MULTICON-W), FEB, 2023. 2.Drashti Shrimal, Harshali Patil, “Opacity to Transparency: A Journey into Explainable Recommender Systems”, INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY, Volume 10, Issue 1, pp. 1617-1626, ISSN: 2349-6002, June 2023. (UGC)
20	Pratiksha Deshmukh 2021 - 2022 1.Pratiksha Deshmukh, “Machine Learning Based Detection of Depression and Anxiety using Voice Recognition”, Vidyabharati International Interdisciplinary Research Journal (Special Issue) ISSN 2319-4979,Special Issue on Fostering Human Resilience-Catalyst for Management,Science and Technology (Oct. 2021) 2.Dr. Harshali Patil,Pratiksha Deshmukh, ”Depression Detection on Social Media using Machine Learning Approach”,ICICN February2022. 2022-23 Ms.Pratiksha Deshmukh, Harshali Patil, ”Machine Learning based Detection of Depression and Anxiety using Voice Recognition”, International Conference on Communications, Computing & Data Science (IC-CCDS),Feb 2023 2023-24 1.22. Pratiksha Deshmukh, Harshali Patil, A Comprehensive Review on Machine Learning Algorithms, IJISAE,October 2023 (Status: Accepted) (Scopus)
21	Ms. Poonam Joshi 2021 - 22 1.Poonam Joshi,”Innovation of AI & Big Data analytics in Customized Pizzabot ”, ICICN February 2022. 2023-24 1. Poonam Joshi, Adaptive Quantum Learning Framework for Real-time HoT Attack Identification, Springer LNN, ICO 2023 Cambodia(26/10/2023- submitted)
22	Ms. Tarunima Mukherjee Tarunima Mukherjee, Dr. Harshali Patil, "Edge Computing & Emerging Applications", ICICN-2023(MULTICON-W), FEB, 2023.
23	Mrs.Sayali Salkade 2022-23 1.Sayali Salkade,Dr.Harshali Patil,”A Unique Approach For Assessment Combining The 3-2-1 Methodology Along With The Recent Developments In Assessment Techniques,”International Journal Of Creative Research Thoughts”,Volume 11,Issue 4,April 2023 2023-24 2. Sayali A Salkade, Sheetal Rathi, Comparative Study and Analysis of Pulmonary Disease Detection and Classification Techniques with Deep Explainable AI, International Journal on Recent and Innovation Trends in Computing and Communication, Oct 2023. (Status: Accepted) (Scopus)