Nagesh Dewangan – Interpretation Analysis of Deep Learning Models-Best Researcher Award

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Nagesh Dewangan – Interpretation Analysis of Deep Learning Models-Best Researcher Award

Mr. Nagesh Dewangan distinguished academic and researcher in the field Interpretation Analysis of Deep Learning Models. As a dedicated researcher in the field of machinery condition monitoring, his work has focused on advancing knowledge in activity monitoring and fault diagnosis for heavy machinery using deep learning models. His research has led to several key advancements, particularly in the areas of machinery activity recognition and motor fault diagnosis. He has worked on projects focusing on the cycle time of dumper activities and real-time fault diagnosis of motors using acceleration signals. The studies were conducted in both laboratory and real environments, providing comprehensive data for robust analyses. His work has resulted in the development of innovative methodologies and technologies. He has contributed to the creation of new algorithms for activity recognition using convolutional neural networks (CNNs) and developed approaches to enhance the generalizability of models across different environments. Collaborations with institutions like CSIR-Central Institute of Mining and Fuel Research Dhanbad, India, and industry partners like Coal India Limited, India, have enriched his research.

 

🌐 Professional Profile

Educations📚📚📚

He is currently a Ph.D. research scholar in the Acoustics and Condition Monitoring Laboratory, Mechanical Engineering Department, Indian Institute of Technology Kharagpur, India. He received his B.E. degree in Mechanical Engineering from the Bhilai Institute of Technology Durg, India, in 2016, and his M.Tech. degree in Maintenance Engineering & Tribology from the Indian Institute of Technology Dhanbad, India, in 2019. His research interests are in the areas of Mining Machinery, Condition Monitoring, Signal Processing, Fault Diagnosis, Real-time Application, Internet of Things, Machine Learning, and Deep Learning for industry-oriented Product Design and Development. Throughout his academic career, he has been involved in numerous research projects focused on improving machinery efficiency and safety, particularly in the mining industry. His recent work includes analyzing the cycle time of dump truck activities, fuel consumption, and implementing Convolutional Neural Networks for activity recognition.

Experience

He has published a paper in the reputed journal Automation in Construction, where he critically evaluates existing methods and proposes innovative solutions. Additionally, he has co-authored two papers in reputed journals, such as Engineering Transactions and the International Journal of Chemical Engineering. He has also presented his work at various prestigious conferences, such as the International Conference on Mechanical Power Transmission 2019 (IIT Madras), 17th International Conference on Vibration Engineering and Technology of Machinery 2022 (Institute of Engineering, Nepal), National Conference on Condition Monitoring 2023 (NSTL, Visakhapatnam), and World Congress on Engineering Asset Management (RMIT University, Vietnam), sharing his findings and insights with the academic and professional community. For his research work, he predominantly uses MATLAB, Python, LabVIEW, and NI Multisim.

 

📝🔬Publications📝🔬

Pavithra sekar – Deep Learning – Best Researcher Award

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Pavithra sekar -Deep Learning – Best Researcher Award

Dr. Pavithra sekar distinguished academic and researcher in the field Deep Learning.

🌐 Professional Profile

Educations📚📚📚

She holds a Bachelor of Engineering (B.E.) in Computer Science Engineering, which she completed in April 2006 with a percentage of 75.6%, earning a first-class with distinction from Vel Tech Engineering College, affiliated with Anna University. She further advanced her education by obtaining a Master of Engineering (M.Tech) in Information Technology in June 2011, achieving a percentage of 8.43 and graduating with first-class honors from Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, also affiliated with Anna University. She completed her academic journey with a Ph.D. in Information Technology, awarded on January 24, 2020, from St. Peter’s Institute of Higher Education and Research.

PROFESSIONAL EXPERIENCE:

She possesses about 17 years of experience in the field of education, encompassing teaching, administration, and research. Currently, she holds the position of Assistant Professor Sr in the School of Computer Science and Engineering at Vellore Institute of Technology, Chennai. Her career includes roles such as Assistant Professor (Sr) in the Department of Computer Science and Engineering at VIT Chennai since December 15, 2023. Previously, she served as Assistant Professor (SG) and IPR coordinator in the Department of Information Technology from March 31, 2021, to December 7, 2022, at Rajalakshmi Engineering College. Prior to that, she was Assistant Professor & Assistant HOD in the Computer Science & Engineering Department at VelTech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College for 9.6 years, from July 6, 2011, to January 25, 2021. She began her career as a lecturer in the Department of Information Technology at VelTech MultiTech Dr. Rangarajan Dr. Sakunthala Engineering College from August 24, 2006, to September 25, 2009.

 

DEVELOPMENT ACTIVITIES

She possesses a thorough understanding of her subject area, demonstrating an exceptional ability to effectively communicate complex concepts to her students. Her strong communication and comprehension skills enhance her role in internal administrative tasks within educational institutions. She has a proven track record in coordinating various activities such as symposiums, student projects, and conferences, where she provides guidance and support to ensure successful outcomes. Her extensive experience includes roles as Class Coordinator, Conference Coordinator, Project Coordinator for contests, and organizing events like the MOTOROLA FAER EVENT. Additionally, she has served as ISO coordinator, handled NBA coordination, and participated actively in autonomous file activities. She is involved in setting question papers for autonomous colleges and universities and has excelled in roles such as Class In-Charge, Student Mentor, and AICTE CII-Survey participant. She diligently maintains semester-wise result analysis reports, prepares weekly schedules, and curates course materials for effective teaching. Her commitment to excellence is evident in achieving over 90% results across all subjects and receiving a publication award of 16,000. Notably, she achieved a perfect 100% result in key subjects like Computer Programming, Operating System, Computer Architecture, Advanced Computer Architecture, and Problem Solving And Python Programming.

📝🔬Publications📝🔬

1. S. Pavithra and K. Venkata Vikas, “Detecting Unbalanced Network Traffic Intrusions With Deep
Learning,” in IEEE Access, vol. 12, pp. 74096-74107, 2024, doi: 10.1109/ACCESS.2024.3405187.
2. . Pavithra, T. Veeramani, S. Sree Subha, J.P. Sathish Kumar, S. Shanmugan, Ammar H.
Elsheikh, F.A. Essa, “Revealing prediction of Perched Cum Off-Centered Wick Solar Still
Performance using network based on Optimizer algorithm” Process Safety and
Environmental Protection,Volume 161,2022, Pages 188-200,ISSN 0957-
5820,https://doi.org/10.1016/j.psep.2022.03.0092022, .(SCI, Scopus).)(Impact factor: 7.92).
3. Meena, M., Kavitha, A., Karthick, Pavithra.S “Effect of decorated photoanode of
https://doi.org/10.1007/s12034-022-02828-9 .(SCI, Scopus).)(Impact factor: 1.92).
4. S.Pavithra, P.M Anu “An Efficient Data Aggregation with Optimal Recharging in Wireless
Rechargeable Sensor Networks” (Submission code: IJAIP-221302) for the International
Journal of Advanced Intelligence Paradigms (IJAIP) Inderscience
DOI: 10.1504/IJAIP.2022.10040244,2022 (Scopus). Impact factor ( 0.63)
5. S.Pavithra Assistive Chatbot device to support Visually Impaired Person to access
Transport Mode Status Using Deep Learning Model ARPN Journal of Engineering and
Applied Sciences waiting for Publication 2022. (Scopus).
6. S.Pavithra, R.Karthikeyan P.M Anu “Detection and classification of 2D and 3D Hyper
Spectral Image Using Enhanced Harris Corner Detector” “Scalable Computing: Practice and
Experience, ISSN 1895-1767, Volume 21, Issue 1, pp. 93–100, DOI

Jameer kotwal- Deep Learning – Best Researcher Award

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Jameer kotwal- Deep Learning – Best Researcher Award

Mr. Jameer Kotwal distinguished academic and researcher in the field Deep Learning.  He has been actively involved in various academic and technological endeavors. In 2020, he developed the “Time Table Lecture Announcer” system, which was displayed outside the classroom. The following year, in 2021, he worked on implementing a “Facial Attendance System” using a Siamese Deep Learning model, with deployment outside the project lab.

Moreover, his engagement extends to educational institutions, where he has contributed to curriculum development and faculty training programs. At Sandip Institute of Technology & Research, he participated in the Faculty Orientation Program (FOP) conducted by Savitribai Phule Pune University (SPPU) for the revised syllabus of the Bachelor of Engineering (BE) program in 2019, specifically focusing on the Deep Learning Lab. Similarly, at Shree Ramchandra College of Engineering, he was involved in the Faculty Development Program (FDP) for the revised BE syllabus in Deep Learning in 2023.

Furthermore, he has facilitated workshops and sessions on advanced topics. Notably, at Nutan Maharashtra Institute of Engineering & Technology (NMIET), he conducted sessions on NVIDIA and CUDA technologies in 2020. Additionally, he has contributed to teaching Advanced Data Structures at Keystone School of Engineering in 2019 and Laboratory Practice-IV at Dr. D. Y. Patil Institute of Engineering, Management & Research in 2018. His involvement dates back to 2012 when he taught Compiler Design at Dr. D. Y. Patil Talegaon.

🌐 Professional Profile

Educations📚📚📚

He pursued his Ph.D., with the thesis submitted to Amity University Raipur. Prior to that, he completed his M.E. in Computer Engineering from G.H. Raisoni College of Engineering & Management, Pune, achieving a CGPA of 6.93, securing a First Class. His undergraduate degree, a B.E. in Computer Engineering, was earned from SVERI College of Engineering, Pandharpur, under Solapur University, where he attained a First Class with a percentage of 64.14. Additionally, he completed a Diploma in Computer Engineering from Government Polytechnic Solapur under the Maharashtra State Board of Technical Education (MSBTE Mumbai), achieving a First Class with a percentage of 66.88.

He has achieved significant recognition and accolades throughout his career. Notably, he secured the second position at the Amity Incubation Centre for his presentation on “Plant Disease Identification using Deep Learning.” Furthermore, he has served as a mentor for various teams in the Smart India Hackathon, including Team 8 bit in 2022, where they focused on “Handwritten Text in Indian Languages” and won the first prize of Rs.1 lakh. Similarly, in 2020, he mentored Team SV_Gravity, who worked on “Virtual Moon Reality,” leading them to secure the first prize of Rs.1 lakh.

Additionally, he participated in the Bhabha Atomic Research Centre Exhibition and seminar titled “Atomic Energy for Peace, Power, and Prosperity” in 2018 at PCCOER, Ravet, Pune. His contributions have been recognized with the Best Teacher Award at NMIET and PCCOER, reflecting his dedication and excellence in education and mentorship.

📝🔬Publications📝🔬
  • Jameer kotwal Tanvi Bhosale,, Biradar, A., Bhat, K., Barhate, S., (2023). Applied Deep Learning for Safety in Construction Industry.Data Intelligence and Cognitive Informatics. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-6004-8_15.
  • Jameer Kotwal Harshal Thakare Dhanashri Wani, Dhiraj Sangale Abhijeet Walunj,” Deep Reinforcement Learning And Object Detection For Adaptive Traffic Signal”, Journal of Seybold Report , Volume 15 Issue 8 Pages 2020.
  • Jameer Kotwal Varun Pilakavil, Hitesh Chaudhari, Pratik Khedekar, Aniket Deotale,” Real Time Product Price Monitoring & Analysis Application for E-Commerce Websites”, International Research Journal of Engineering and Technology, Volume 1 Issue 1 Pages 1237
  • Jameer Kotwal Harshal Thakare Dhanashri Wani, Dhiraj Sangale Abhijeet Walunj,” Deep Reinforcement Learning and Image Processing for Adaptive Traffic Signal Control”,IJSRET, Volume 6, Issue 1, Jan-Feb-2020.
  • Jameer Kotwal Shivakumar Iyer, Manisha Chate, Shubhangi Dhawan, Shivani Thorve, “An Web Based Emergency Alert System”,JETIR(UGC approved), Volume 6, Issue.1,Pages.388.
  • Jameer Kotwal, Dr.Sachin Babar,” Solving Monte-Carlo Method by Using GPU and CPU”,IJCSIT,Volume 8 Issue 3 Pages 324-326.
  • Jameer G Kotwal, Tanuja S Dhope ,”Solving Task Allocation to the Worker Using Genetic Algorithm,”International Journal of Computer Science and Information Technologies,Vol.6,Issue.4,Pages.3736-3741.
  • Jameer Kotwal, Prajkta Varhade, Komal Koli ,”Text clustering for computer investigation with search optimization “,International Journal of Engineering & Computer Science,4,Issue.11,Pages.14921.
  • Jameer Kotwal,Aishwarya Jadhav,Kasture,Gayatri,Amruta,” Pulse Rate Monitoring Device Based On Arduino and Android Platform”, International Journal for Research in Applied Science & Engineering Technology (IJRASET) (UGC approved), ISSN: 2321-9653; Volume 6 Issue III, March 2018.
  • Jameer Kotwal,Harnoor sodhi,Tejaswini,Khade,” Secured Access Control Using Secret key and OTP for Cloud Computing Services”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), ISSN: 2321-9653; Volume 6 Issue III, March 2018.
  • Jameer Kotwal,Amol Roundal,Neeraj, “Speed Alert System for GPS-enabled Smartphone’s with Android operating system” “,International Journal of Computer Science and Information Technologies,Vol.6,Issue.1,Pages.745.
  • Jameer Kotwal,Tanuja Dhope,”Unbalanced Assignment Problem by Using Modified Approach “,International Journal of Advanced Research in Computer Science and Software Engineering ,Vol.5,Issue.7,Pages.451.
  • Jameer Kotwal, Snehal Pawar, Shraddha Pansare, Madhura Khopade, Pratibha Mahalunkar (2015),”Android App For Meter Reading” in: International Journal of Engineering & Computer Science ,Vol.4,Issue.1,Pages 9853-9856.