Name
Dr Monika Dangore
Position
Associate Professor
Department
Computer Engineering
Email id
This email address is being protected from spambots. You need JavaScript enabled to view it.
Cell No
9545554530
Extension No
--
Qualifications
PhD Computer Science Engineering
Experience
18 Years
Research Areas
Data Science Machine Learning, Mobile Adhoc Networks
Publications
(1) "Distributed Approach for Multiple Threats Detection in Opportunistic Wireless Communication System", Int. J. of Wireless and Mobile Computing, InderScience (Under Publication Process)
(2) “Security and Privacy Preserving in Cloud Computing Using IoT”, International Conference on Emerging Techniques in Machine Learning, Data Science and IOT 2024 (Under Publication Process in Scopus indexed Springer Book Series)
(3) “A Modified AODV Protocol to Mitigate Combined Impact of Multiple Attacks in MANET”, Vol. 05, No. 4 (2023) 693-700, doi: 10.24874/PES05.04.011, Proceeding of Engineering Science, E-ISSN 2683-4111
(4) “Reviewing Real World Implementation of Manets Through Test Beds”, Semiconductor Optoelectronics, Vol. 41 No. 12 (2022), 1420-1431, ISSN: 1001-5868
(5) “A Generalized Approach for Detecting and Mitigating Manet Attacks”, 2023; Volume -12, Special Issue-6, Page 46 – 62, European Chemical Bulletin, ISSN: 2063-5346
Conferences
(1) “NFTAXIS” -Connecting Creators and Collectors, Springer International Conference on Next-Gen AI & ML 2025 (Under Publication Process)
(2) “Multi-class Investigation of Acute Lymphoblastic Leukemia using Optimized Deep Convolutional Neural Network on Blood Smear Images”, IEEE Conference 2024 MITADTSoCiCon
(3) “Deep fake detection for preventing Audio and Video frauds using Advanced Deep Learning Techniques”, 2024 IEEE Recent Advances in Intelligent Computational Systems – RAICS
(4) “Revolutionizing Sport Education With AI”, 2024 15th IEEE International Conference on Computing Communication and Networking Technologies (ICCCNT)
(5) “Applying Random Forest for IoT Systems in Industrial Environments”, 2024 15th International IEEE Conference on Computing Communication and Networking Technologies (ICCCNT)
(6) “A Method for Re-identifying Subjects in Video Surveillance using Deep Neural Network Fusion”, 2024 15th IEEE International Conference on Computing Communication and Networking Technologies (ICCCNT)
(7) “Detecting and Overcoming Blackhole Attack in Aodv Protocol”, International IEEE Conference on Cloud and Ubiquitious Computing Emerging Technologies (CUBE -2013)
Workshops
· Workshop on Advancing Innovation with IEEE Research Tools, 19.05.25
· One Week FDP on AI for Sustainable Development 05.08.24 to 09.08.24
· Atal FDP on AI and IOT 09.12.24 to 14.12.24
· Workshop on Spoken Tutorials by IIT Bombay 14.09.24
· Intro to Statistics & Descriptive Statistics, 20/01/2023, University of Edinburgh, UK
· Analysing Geospatial Data with R, 24/01/2023, 31/01/2023, University of Edinburgh, UK
· Finding Patterns Across Data, 03/02/2023, 07/02/2023, University of Edinburgh, UK
· Introduction to Machine Learning, 13/02/2023,20/02/2023, 27/02/2023, University of Edinburgh, UK
· Introduction to Text Extraction, 20/11/2023, University of Edinburgh, UK
· One Week Online Industrial Training / FDP on Machine Learning and AI, 12/12/2023 to 16/12/2323, Edulakes Solution in association with NSS-IIT Roorkee
· One Week Online Industrial Training on Deep Learning, 25/12/2023 to 29/12/2023, Edulakes Solution in association with NSS-IIT Roorkee
· One Week Online FDP on “Advancements in AI”, 04/03/2024 to 08/03/2024, VIIT, Pune
· One Week Online STTP “Recent trends in Cyber Security and Cloud Computing”, 05/02/2024 to 10/02/2024, GHRCE, Nagpur
Reviewer
Springer Journal, IEEE Conference, BP International Book Chapters
Professional Affiliations
IEEE Professional Membership, IEEE Computer Society Membership
Awards & Recognitions
1. Three Patents Published including UK Design Patent
2. NPTEL Silver Elite Certificate in Python for Data Science
3. NPTEL Elite Certification in Accreditation and Outcome Based Learning
4. Awarded as Jury Member for IEEE Pune Section Awards
5. Proctor for IEEE Xtreme- 24 Hours International Coding Challenge
6. Internship Mentor for IEEE Computer Society Banglore Section
h-index (Scopus)
RG Score (Research Gate)
ORCID
Industry Connect
MOU Done with TechEazy Consulting
Funded Projects
(1) Funding Approved for 300$ from IEEE YP & IEEE Foundation
(2) Sponsorship received from IEEE Pune Section to organize National Level News Reporting Competition
Responsibilities
@MMIT
(1) IEEE Student Branch Counsellor
(2) Functional Head- Professional Body Membership
(3) NBA Criteria-5 Departmental Coordinator
Dr.Pramod B. Dhamdhere
9665550088
-
Phd (CSE),ME Computer Engg,BE Computer Engg.
12.11 years
Data Mining.
Total No. of International Journal:06
Total No. of International Conference: 05
03
02
NA
03 Documents
0009-0007-4188-0824
Responsibilities @MMIT
PROF. VIDYA EKNATH KADAM
ASSISTANT PROFESSOR
ARTIFICIAL INTELLIGENCE & DATA SCIENCE
+91 9604925854
M.Tech (IT), BE (Computer Engineering)
Teaching – 7 year
Data Mining, Machine Learning
IEEE
● Faculty Development Programme on “PSOOP”organized by BoS of SPPU Pune on 19 August 2013 at VIIT.
● Faculty Development Programme on “Basics of Linux kernel Programming”organized by BoS of University of Pune on 28 th Feb 2015 at AIT.
● Two days State Level Workshop on “Current Research Trends in Computer Networking”at Trinity College of Engineering held on 14 15 october 2013
● Faculty Development Programme on”Research Methodology and Mathematical Modeling ”under TEQIP during 13th to 14th Feb 2015.
● Faculty Development Programme on on “Operating system”organized by BoS of University of Pune on12 th Jan 2015 at PVG college of Engineering.
● One week Faculty Development Programme held at KJs Educational Institutes from 8 th to 13 th Dec 2014.
● Two week ISTE STTP on “Introduction to Design of Algorithms” conducted by IIT kharagpur from 27 th April to 30 th May 2015.
● Two Days Hands on Faculty Development Program on “Effective use of ICT Tools for efficient online teaching” organised by PICT on 29 th and 30 th May 20.
● Faculty Development Programme on “Swift(IOS)”organized by METs Institute of Engineering from 12 th to 16 th May 2020.
● One day National Level Webinar on “Data Science with Machine Learning” organized by Department Of Computer Engineering, AISSMS College Of Engineering, Pune, Maharashtra On 26th May 2020.
● Three Days national Level online workhop on “Python Programming and Applications in ArtificialIntelligence and data science” organized by Department Of Computer Engineering, K.K Wagh Institute of Engineering education, Pune, Maharashtra On 28 th , 29 th and 30 th May 2020.
–
ISTE
Mr. Nilesh Chandrakant Dhobale
Assistant Professor
Mechatronics Engineering
+91 9673035530
B.E(Mechanical Engg.), MTech (Mechatronics Engg.), PhD Pursuing (Mechatronics Engg.)
Teaching – 4.5 Year
Industry – 00 Year
Mechatronics, Robotics, Condition monitoring using Artificial Intelligence, Artificial Intelligence, Automation & Control systems
1. NC Dhobale,SS Mulik, R Jegdeeshwaran,Supervision of miiling tool inserts using conventional and artificial intelligence approach- A Review,Journal of sound and Vibration,vol 55(2),2021.
2. NC Dhobale,SS Mulik ,SPDeshmukh,Naïve Bayes and Bayes net classifier for fault diagnosis of end milling tool using wavelet analysis – A Comparative study,Journal of Vibration engineering and technologies,vol10,2022
3. Sharad Mulik, Nilesh Dhobale,Kanchan Pujari,Kailash Karande, An Artificial intelligence based approach for Biomedical Application, CRC Press Taylor and Francis, Book Chapter 2022.
4. Nilesh Dhobale, Sharad Mulik,Suhas Deshmukh, Kaustubh Ganer Condition monitoring of multipoint end mill tool using statistical features and J48 algorithm, Journal of Maharaja Sayajirao university of baroda,2021
5. Chandan M N, Sharad Mulik, Nilesh Dhobale,Fault diagnosis of drilling tool using vibration signals and Lazy learning classifier, Journal of Maharaja Sayajirao university of baroda,2021.
6. Milind Rohokale,Sharad Mulik,Nilesh Dhobale, Condition Monitoring of Broaching tool Using K -Star Algorithm, Journal of Maharaja Sayajirao university of baroda,2021.
7. Dhananjay Kankal,RL Edlabadkar,Nilesh Dhobale, Wave Energy Convertor Technology: A Review, Journal of Maharaja Sayajirao university of baroda,2021.
8. Nilesh C Dhobale, Krishagana S Chauhan, Tejas S Gaikwad, Health monitoring of VMC machine tool using Arduino UNO (vibration measurement) and machine learning algorithms AI, Journal of Emerging technologies and innovative research,2023.
9. Nilesh C Dhobale, Krishagana S Chauhan, Tejas S Gaikwad, Health monitoring of vmc machine tool using arduino uno and machine learning algorithms, International Journal of creative research thought,2023.
1. PatangeA.D, R.Jegdeeshwaran, NC Dhobale, Milling cutter condition monitoring using machine learning approach, International conference of mechanical power Transmission,IIT Madras,2020.
2. NC Dhobale, SS Mulik, R. Jegdeeshwaran, Kaustubh Ganer, Multipoint milling tool supervision using artificial neural network approach,materials today procedings,vol 45 part 2,2021
1. One week faculty development program on ‘Use of AI in Mechanical Engineering’ at RMD Sinhgad School of Engg Warje Pune,2021
2. One week faculty development program on ‘Multidisciplinary faculty development program, at ISBM College of Engg. Pune,13-19 Dec 2023.
3. Faculty development program on ‘Machine Learning’ at DYP Akurdi Pune 2023.
Lifetime member of IAENG
1. Elite grade on NPTEL course on ‘Introduction to Machine Learning’ by IIT Madras
2. Keynote speaker on Research: Design, IPR& Publication
5
69.3
0000-0003-1951-7117
IIC Convenor, ERP Coordinator, Member R&D
DR. JAYASHREE DEKA
MECHATRONICS ENGINEERING
+91 8308801860
Ph.D.(EEE),M.Tech (ELDT), BE (Instrumentation)
Teaching – 6.5 year
Industry – 1 Year
Image processing, Deep Learning, AI/ML
1. Deka, Jayashree & Laskar, Shakuntala & Bakalial, Bikramaditya. (2023). Automated Freshwater Fish Species Classification using Deep CNN. Journal of The Institution of Engineers (India): Series B. 104. 10.1007/s40031-023-00883-2.
2. Deka, Jayashree & Laskar, Shakuntala & Bakalial, Bikramaditya. (2022). FRESHWATER FISH SPECIES CLASSIFICATION USING DEEP CNN FEATURES. ICTACT Journal on Image and Video Processing. 12. 2721-2729. 10.21917/ijivp.2022.0386.
3. Deka, Jayashree & Laskar, Shakuntala. (2020). Performance Comparison of FOD based Edge Detector and Traditional Edge Detectors on Fish Image Edge Detection. 485-490. 10.1109/ComPE49325.2020.9200022.
4. Deka, Jayashree & Laskar, Shakuntala. (2020). Comparative Analysis of FOD based Prewitt, Sobel & Laplacian Operators for Edge Detection on Freshwater Fish images. 65-70. 10.1109/ESCI48226.2020.9167538.
5. Mahadik, Chetan & Mahindrakar, Sumit & Deka, Jayashree. (2014). An Improved and Efficient Power Bicycle system with the Power of Real time Information Sharing.,MJET
6. Deka, Jayashree & Madhukar, Taur & Arun, Tarate. (2014). Speed control of DC motor using PIC 16F877A microcontroller. 1. 223-234..MJET
IEEE-2
· Successfully Completed OpenCV Bootcamp from OpenCV University with 85% in 2 nd April 2024.
· Completed a certification course on Python for Machine Learnings from Great Learnings in March 2024.
· Online Workshop on Python Programming with Engineering Applications at Assam Don Bosco University,7-12th Aug’23
· Successfully completed a three-day in-house training in “Data Analytics, Machine Learning & Visualization on GPU” at Maritime Research Centre, Pune, in June 2018.
· Attended two days international workshop on “Information and Communication
· Technology” at KJ College of Engineering, Pune on 11 th – 12 th March ’13.
· a seminar on “Instrumentation, Operation, and Control of Power System” at GIMT, Guwahati, held on 28 th and 29 th April ’11.
· Attended one-week STP on “Optimization Techniques” at NITTTR, Chandigarh held in May ’11.
· Successfully completed a two-week workshop on” Basic Electronics” conducted by IIT Bombay from 28 th June ’11 to 8 th July ’11.
· Attended a one-week STP on “Control System and MATLAB Simulation” at NITTTR, Kolkata extension center held on 5 th September ’11.
Scientific Reports (Springer Nature), IET Image Processing,Journals of Institution of Engineers: Series B(Springer Nature),Indian Journal of Geo-marine Sciences, ADBU Journal of Technology
IAENG
Gold Medalist in M.Tech,GATE’07 qualified
3
-University Syllabus,MOM,MOOC,Awards/Recognition received by Faculty, Awards/Recognition received by students,publications by department faculty,patents,publications by students
MAYURI SANJAY MHASKE
+91 8149137535
M.E. (Design), BE (Mechanical)
Teaching – 10 years
Industry – 0
1. Experimental Investigation and Analyze the Effect of Varying L/D
on Thermal Performance of Vortex Tube, International Journal of
Innovative Research in Advanced Engineering Volume 10 Issue 6 ISSN 2349-2163 June 2023
2. Design and manufacturing of a handy press for bush fitting using
double acting hydraulic cylinder, International Research Journal of Engineering and Technology Volume 3 Issue 2 ISSN 2395-0072 Feb 2016
3. Various approaches to eliminate MIG welding and defects occurring in DT Cap fitting in a three-wheeler shock absorber, International Research Journal of Engineering and Technology Volume 3 Issue 2 ISSN 2395-0072 Feb 2016
4. Detection of crack location and depth in a cantilever beam by vibration measurement and its comparative validation in ANN and GA, International Journal of Research in Engineering Technology volume 4
issue 10 ISSN 2321-7308 Oct 2015
1. Staff coordinator for two-day National level conference on Implementation of NEP 2020 organized by DPCOE sponsored by SPPU Pune on 10th & 11th February 2023
1. Attended 6 days FDP on Geometric Dimensioning & Tolerances organized by BSIOTR Pune from 17th April to 22nd April 2023
2. Attended Online course on SAR Data processing & its application with special Emphasis on RISAT-1A/EOS-4 by IIRS, Dehradun from 10th April to 14th April 2023
3. Attended 5 days FDP on Computer-aided engineering analysis using ANSYS organized by VIIT Pune from 17th July to 21st July 2023
4. Attended one-week National level FDP on Cloud Infrastructure (AWS) organized by DPCOE in association with AICTE & Brainovision Solutions Pvt Ltd from 21st to 25th August 2023
1.Lifetime Member of ISTE Staff Chapter (LM 106360)
2. Member of International Association of Engineers
3.Member of All India Council for Technical Skill development.
Certification of 5 out of 8 modules in NITTT, an initiative by AICTE, has been achieved.
0009-0006-4120-0115
Result Analysis Coordinator, Website Coordinator
KISHOR BALASAHEB NARWADE
CIVIL ENGINEERING
+91 8888089153
M.Tech (Structures), BE (Civil)
Teaching – 3 year
1. Kishor Narwade, Prof. J. P. Patankar, “EFFECT OF TUNED MASS DAMPER AND MULTIPLE TUNED MASS DAMPER ON THE VIBRATION OF CHIMNEY SUBJECTED TO SEISMIC LOAD”, In: International Journal of Engineering Applied Sciences and Technology, 2019 Vol. 4, Issue 3, ISSN No. 2455-2143, Pages 266-276
DOI: https://www.ijeast.com/papers/266-276,Tesma403,IJEAST.pdf
● Gujal Construction
● Om buildcon
● Suyog Development Co. Ltd
● Coordinator for Civil Work and Maintenance of MMIT Campus.
● NAAC Departmental Coordinator
● Functional committee member under AICTE/NIRF/DTE/AISHE
● Functional Committees - Student Affairs- Hostel and mess committee member
● Internal Examiner for SE and TE
● NBA Criteria head 6 Facilities and Technical Support
● GFM of SE A2 batch
● Lab in-charge Civil Department- Engineering Geology lab
● Internship coordinator under the dean functional committee
Mr. Nilesh N. Satonkar
Mechanical Engineering (ROAI)
9021836099
---
M.Tech. (CAD/CAM), Ph.D. (Pursuing)
02 years (Teaching), 07 years (Research)
Computer Aided Engineering, Artificial Intelligence
1.Satonkar Nilesh and Venkatachalam Gopalan, "A Review on Electromagnetic Sheet Metal Forming of Continuum Sheet Metals." SAE International Journal of Materials and Manufacturing, 12(2), (2019), pp.121-134. (Scopus)
2.Satonkar Nilesh and Venkatachalam Gopalan, "Simulation of Electromagnetic Forming Process and Optimization of Geometric Parameters of Perforated Al Sheet Using RSM." Mathematics, 11(9), (2023), pp. 1983. (Scopus, SCI Impact Factor:2.59)
3.Venkatachalam, G., Reddy, D. M., Tiwari, S. K., Satonkar, Nilesh., & Kovalan, S. (2019). Fracture and flexural analysis of sandwich panel with polypropylene honeycomb as core and jute fabric reinforced epoxy matrix composite as skin layer. Materials Research Express, 6(11), 115348. (Scopus; SCI impact factor – 2.3)
4.Gopalan, V., Bhardwaj, P., Satonkar, Nilesh., & Pragasam, V. Determination of fatigue limit of coir/CNT/fly ash reinforced epoxy polymer matrix composite. Periodica Polytechnica Mechanical Engineering, (2020),64(3), 248-255. (Scopus)
5.Gopalan, V., Sharma, S. K., Jangid, A. K., Pragasam, V., Satonkar, Nilesh., & Chinnaiyan, P. (2020). Investigations on tensile and flexural characteristics of fly ash and banana fiber-reinforced epoxy matrix composites. Engineering Transactions, 68(1), 89-101. (Scopus)
6. Viswanath Shreya, Riya Vasan, Venkatachalam Gopalan and Satonkar Nilesh. "Prediction of drag coefficient of a hybrid body design of aircraft." Mechanics and Advanced Technologies 7, no.3 (2023). (Scopus)
7.Senthilnathan, N., Venkatachalam, G., & Satonkar Nilesh (2014). A two-stage finite element analysis of electromagnetic forming of perforated aluminium sheet metals. Procedia Engineering, 97, 1135-1144. (Scopus)
FDP/Workshop
11
1.Reviewer for Journal of Manufacturing Processes
2.Reviewer for QEIOS Journal
SAE Member, IEI Member
Involved in assisting for various NAAC criterion
Mr. Nilesh C. Dhobale
Mechanical Engg.
+91-9673035530
MTech (Mechatronics), PhD Pursuing
04 Year
Mechatronics, Robotics, Condition monitoring using Artificial Intelligence
Assistant to NAAC Work
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