Department Of Internet of Things & Intelligent Systems | Faculty of Engineering (FOE) At Manipal University Jaipur, MUJ

FACULTY OF ENGINEERING

OVERVIEW

The Department of Internet of Things and Intelligent Systems (IoT & IS) at Manipal University Jaipur marked its commencement in 2021. The department aims to make the students ready for 4th Industrial Revolution (Industry 4.0) which is fusion of advances in artificial intelligence (AI), robotics, the Internet of Things (IoT), 3D printing, intelligent systems, genetic engineering, quantum computing, and other technologies. The department provides an intensive and skillful program to utilize the potential and the innovative passion of students. The scheme of the program is strongly aligned with the present and forthcoming requirements of the industries, and academia across the globe. Thus, it offers the ample of carrier opportunities to the students.

VISION

Global leadership in higher education and human development

MISSION

Be the most preferred University for innovative and interdisciplinary learning
Foster academic, research and professional excellence in all domains
Transform young minds into competent professionals with good human values

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IndustryCollaborations

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CampusPlacement

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Faculty MembersHolding PhD

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crore

Scholarships

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IncubationStartups

Programs

B.Tech in Computer Science and Engineering (IOT & Intelligent System)

TEACHING FACULTY View all faculties

Dr. Abhay Sharma

Assistant Professor (Selection Grade)

Department of IoT and Intelligent System

Dr. Amita Nandal

Associate Professor

Department of IoT and Intelligent System

Ms. Bhawana Sharma

Assistant Professor (Senior Scale)

Department of IoT and Intelligent System

Dr. Deepak Sinwar

Associate Professor

Department of IoT and Intelligent System

Dr. Dinesh Saini

Professor

Department of IoT and Intelligent System

Dr. Geeta Rani

Associate Professor

Department of IoT and Intelligent System

Dr. G L Saini

Assistant Professor (Selection Grade)

Department of IoT and Intelligent System

Dr. Gyanendra Kumar

Department of IoT and Intelligent System

Dr. Hemlata Goyal

Assistant Professor (Selection Grade)

Department of IoT and Intelligent System

Dr. Manoj Bohra

Professor

Department of IoT and Intelligent System

Ms.Nandini Babbar

Department of IoT and Intelligent System

Dr. Pooja Gupta

Associate Professor

Department of IoT and Intelligent System

Mr. Rajesh Kumar

Assistant Professor (Selection Grade)

Department of IoT and Intelligent System

Dr. Renu Kumawat

Associate Professor

Department of IoT and Intelligent System

Dr. Rohit Mittal

Department of IoT and Intelligent System

Mr. Rohit Singh

Assistant Professor (Senior Scale)

Department of IoT and Intelligent System

Dr. Sandeep Singh

Associate Professor

Department of IoT and Intelligent System

Mr. Satveer Singh

Department of IoT and Intelligent System

Dr. Suman Bhakar

Assistant Professor (Selection Grade)

Department of IoT and Intelligent System

Mr. Sunil Kumar D

Assistant Professor

Department of IoT and Intelligent System

Dr. Usha Choudhary

Assistant Professor

Department of IoT and Intelligent System

Dr. Vijay Shankar Sharma

Assistant Professor (Senior Scale)

Department of IoT and Intelligent System

Dr. Sourabh Singh Verma

Associate Professor

Department of IoT and Intelligent System

Dr. Praveen Kumar Shukla

Assistant Professor (Selection Grade)

Department of IoT and Intelligent System

FACILITIES @MUJ

IoT & Project Lab
IoT Fab Lab
Research lab: Data Communications
Programming Lab
Computer Network Lab
Programming Lab
Machine Learning Lab
High performance Computing lab
Software Engineering Lab

IoT & Project Lab

This research lab has been setup to skill the undergraduate, postgraduate and Ph.D. students in IoT, Machine Learning and Deep Learning utilizing state of the art hardware boards and software as per industry standards. This lab helps students to enhance research activities in different application areas of IoT like smart home, smart village, smart healthcare, smart grid, smart agriculture, industry 4.0 and wearable IoT devices etc. This lab has high performance GPU (Configuration : Processor Intel core i9 , Hard Disk- 3.0 TB, RAM-64GB DDR4 3000 MHZ, Graphics-NVIDIA Corporation GA102 (RTX83080 Ti)) and PCs. This lab is also used to enhance research activities in different application areas of Machine learning and Deep learning like disease detection, Robotics, Bioinformatics, Healthcare, Agriculture etc.

IoT Fab Lab

In this Lab the students get to know about modern-day technologies (learning and hand on) and tools employed in STEAM (Science, Technology, Engineering, Arts and Mathematics) education such us robotics, 3D printing and mobile technologies using Arduino and RPi applications. It provides a platform to access the environment, the skills, the materials, and the advanced technology. Experiments in this lab are designed and completed using three equipments viz Arduino, Raspberry Pi and 3D printer.

Research lab:Data Communications Lab114 -AB

The main objective IOT applications in Computer and communication engineering laboratory is to know the different real time sensors used to measure the different parameters and to control the different electrical devices from anywhere through IOT.

This research lab has been setup to fulfil the following objectives:

To skill the undergraduate and postgraduate, Ph.D. students in the IoT and Embedded system design utilizing state of the art hardware boards and softwares as per industry standards.
To enhance research activities in different application areas of IoT like smart home, smart village, smart healthcare, smart grid, smart agriculture, industry 4.0 and wearable IoT devices etc.

Programming Lab-II(003-AB2)

Hardware details:

Computer System -30
Model: HP 400 G3
HDD: 500 GB
RAM: 4GB
Processor - i5

Software Details:

MS Office 2016
Windows 10 Pro 64 bit
VMWARE
Dev C & C++
Turbo C"

Machine Learning Lab (115-AB2)

Computer Systems:BANQ Projector – 1 Unit,HP200 Pro G4 22 All –In –One PC

Operating System: Windows 10 Professional

DTP Package Microsoft Office 2016

Softwares:

Oracle VM Virtual Box 6.0.0+Ubuntu
Code Blocks 16.01
Dev C++ 5.11
Turbo C++ 3.2
JDK16.01
Python 3.10"

Programming Lab (114-AB1)

Computer Systems:HPProdesk400-29 Units

Operating System: Windows 10 Professional

DTP Package Microsoft Office 2016

Softwares:

Oracle VM Virtual Box 6.0.0
Code Blocks 16.01
Dev C++ 5.11
Turbo C++ 3.2
Cisco Packet Tracer 7.2 64

High performance Computing lab (115-AB1)

This lab has PCs with GPU setup and led By Dr. Vijay Kumar Sharma.

The details are as follows.

NVIDIA Quadro 600 GPU: - It is Built on Fermi architecture, the Quadro 600 GPU comes equipped with 1GB of DDR3 memory for improved transfer rates plus increased performance compared to the previous generation. The NVIDIA 600 GPU utilizes a 128-bit bus and memory is clocked at 800 MHz, resulting in a memory bandwidth of 25.6 GB/s.

Software Engineering Lab (120-AB1)

Computer Systems: HP280 - 30 Units

Operating System: Windows 10 Professional

DTP Package Microsoft Office 2016

Softwares:

Oracle VM VirtualBox 6.0.0
Dev C++ 5.11
Turbo C++ 3.2
Adobe reader 22.001.20169
Xamp

Computer Network Lab (011-AB1)

In this lab students perform the networking related experiment under the guidance of Dr. Arjun Singh, Senior-Associate Professor CCE using Cisco Packet Tracer. Many faculty members and students are using this lab for performing research related experiments

Achievements

Student Achievements
Faculty Achievements

Sandipan Chatterjee and Love Lakhwani

Got Topper 1% in the NPTEL course Design And Analysis Of Algorithms,

Amity Techno Cultural Fest, Odyssey

Students participated in Amity Techno Cultural Fest, Odyssey and secure I Position

Clely Voyena Fernandes

Won trophy at JK Lalshmipat University, Jaipur

Parth Mohan Choudhary

Got II position in Basketball, at annual sports of meet conducted by Malviya National Institute of Technology Jaipur

Narender Khatri, Chhavi Maheshwari, Samyak Jain, and Parthi Maheshwari

Team won best paper award on “Classification of Metastatic Lymph Node Sections using Deep Learning“ at International Conference on Computational Intelligence and Knowledge Economy (ICCIKE) Organized by Amity University

Parth Mohan Choudhary

Won I Position in Sports-VARCHAS’22 organized by IIT Jodhpur in Basketball with prize money INR 5,000.

Mr. Saarang Kumar and team

Won I Position in Himachal Pradesh Powerlifting Association, HP in Junior Category

Naveen Malhotra and Sayantan Mondal

Team received District Collector Award, Letter of Appreciation for the development of Dak Management System

Mr. Harsh Kundan

Won Bronze medal in 400m atheltics, Silver medal in relay race, organized by IIT Jodhpur, Varchas’22

Ohm & Rahul Satva

Team won winner trophy in ODYESSY - Techno Cultural Fest of Amity University

Ishan Wadhwani

Won Bronze Certificate in The APJC NetAcad Riders 2023 Competition, organized by Cisco Networking Academy.

RESEARCH

Exploring the unexplored

The areas of research include:
• Intercultural Philosophy • Eco-Philosophy • Technology and Human Values • Cross-cultural Philosophy of Religion • Peace Studies • Physical Education and Sports • Exercise Physiology • Sports Psychology • Sports Biomechanics • Health Education • Sports Management

Read more

HAPPENINGS @ FOEView all

News

Automotive Quiz

Read more 26 Jun 2021

Best Paper award at International Conference I-DAD 2020

Read more 26 Feb 2020

Events

3rd International Conference on Intelligent Computing Techniques for Smart Energy Systems (ICTSES-2023)

Read more 14 Dec 2023

Integration of IoT

Read more 11 Dec 2023

CLUBS & CHAPTER

Abhigya Club

ACM

Nexus (Satellite Club MUJ)

Aperture

ASME

Autonomous Initiative

CARS

Coreografia

Design & Simulation Buro

Developer Student Clubs Manipal University Jaipur

Electronics Society

Glitch!

Hercampus

Humans of MJ

IE(I) MUJ Civil Engineering

IE(I) MUJ Mechatronics

IEEE APS Student Chapter

IEEE MTTS Student Chapter

IMechE

Innovader

INSTITUTE OF ENGINEERS (INDIA)

LearnIT

MarkSoc

MUJ OSA Student Chapter

OMPHALOS

PANACEA

PHI Phenomenon

Randomize

ROTARACT CLUB

RPM-SAE MUJ

SPIE Student Chapter Manipal University Jaipur

Techno Electricia

Turing Sapiens

Wings - The - Aeromodelling Club

BLOCKCHAIN@MANIPAL

ACM SIGAI

GlobalGrad

ECO-TECH EMPIRE

CYBER SPACE

MOTO MAVERICK

IEEE SENSORS COUNCIL

TYWI MUJ CHAPTER

VRsatile Club

AIML COMMUNITY

INDGenus MUJ Chapter

INDUSTRIAL COLLABORATIONS

EXPANDING Horizons

Dr. Abhay Sharma

Assistant Professor (Selection Grade) Department of IoT and Intelligent System

abhay.sharma@jaipur.manipal.edu
9887742809

PHD, AMITY UNIVERSITY RAJASTHAN, 2020
MTECH, SURESH GYAN VIHAR UNIVERSITY, JAIPUR, 2012
B.E., UNIVERSITY OF RAJASTHAN, 2006

Computer Vision
Soft Computing
Machine Learning

GATE 2006
Top Researcher of the month May2023

Nucleous Member In Directorate of Corporate Relations & Placements

Faculty Placement Coordinator
Computer Network Lab Coordinator
Class and Course Coordinator

IEEE
IAENG

I. Sharma, A. Sharma, R. Chaturvedi, Jitendra Rajpurohit, and M. Kumar, "SKIFF: Spherical K-means with iterative feature filtering for text document clustering," Journal of Information Science, p. 016555152311652-016555152311652, May 2023, doi: https://doi.org/10.1177/01655515231165230.
R. Chaturvedi, A. Sharma, A. Bhargava, Jitendra Rajpurohit, and Pushpa Gothwal, "Multi-level Segmentation of Fruits Using Modified Firefly Algorithm," Food Analytical Methods, vol. 15, no. 11, pp. 2891-2900, Apr. 2022, doi: https://doi.org/10.1007/s12161-022-02290-7.
A. Sharma, R. Chaturvedi, and A. Bhargava, "A novel opposition based improved firefly algorithm for multilevel image segmentation," Multimedia Tools and Applications, vol. 81, no. 11, pp. 15521-15544, Feb. 2022, doi: https://doi.org/10.1007/s11042-022-12303-6.
A. Sharma, R. Chaturvedi, U. Dwivedi, and S. Kumar, "Multi-Level Image Segmentation of Color Images Using Opposition Based Improved Firefly Algorithm," Recent Advances in Computer Science and Communications, vol. 14, no. 2, pp. 521-539, Accessed: Oct. 17, 2023. [Online]. Available: https://www.eurekaselect.com/article/99705
A. Sharma, R. Chaturvedi, S. Kumar, and U. K. Dwivedi, "Multi-level image thresholding based on Kapur and Tsallis entropy using firefly algorithm," Journal of Interdisciplinary Mathematics, vol. 23, no. 2, pp. 563-571, Feb. 2020, doi: https://doi.org/10.1080/09720502.2020.1731976.

Ms. Bhawana Sharma

Assistant Professor (Senior Scale) Department of IoT and Intelligent System

bhawana.sharma@jaipur.manipal.edu
9460101333

M.TECH., MNIT, JAIPUR, 2009
B.E., UNIVERSITY OF RAJASTHAN ,2006

Machine Learning and Deep learning
AI

GATE 2007

Bhawana Sharma, "Explainable artificial intelligence for intrusion detection in IoT networks: A deep learning based approach." Expert Systems with Applications (2023): 121751.
Bhawana Sharma, "Anomaly based network intrusion detection for IoT attacks using deep learning technique." Computers and Electrical Engineering 107 (2023): 108626.
Bhawana Sharma, Lokesh Sharma, and Chhagan Lal. "Anomaly detection techniques using deep learning in IoT: a survey." 2019 International conference on computational intelligence and knowledge economy (ICCIKE). IEEE, 2019.
Bhawana Sharma, Lokesh Sharma, and Chhagan Lal. "Anomaly based network intrusion detection for IoT attacks using convolution neural network." 2022 IEEE 7th International conference for Convergence in Technology (I2CT). IEEE, 2022.
Bhawana Sharma, Lokesh Sharma, and Chhagan Lal. "Anomaly-Based DNN Model for Intrusion Detection in IoT and Model Explanation: Explainable Artificial Intelligence." Proceedings of Second International Conference on Computational Electronics for Wireless Communications: ICCWC 2022. Singapore: Springer Nature Singapore, 2023.

Dr. Deepak Sinwar

Associate Professor Department of IoT and Intelligent System

deepak.sinwar@jaipur.manipal.edu
9416164461

PHD, JAIPUR NATIONAL UNIVESITY,2016
MTECH, GURU JAMBHESHWAR UNIVERSITY, HISAR,2010
BTECH, MAHRISHI DAYANAND UNIVERSITY ROHTAK,2008

Computational Optimization
Data Mining

Researcher of the Year 2021
Certificate of Excellence for the year 2021-22 by MUJ
Dr. Ramdas M. Pai Award for professional excellence -2022-23

Deputy Director - Directorate of Quality and Compliance
MUJ

Major Project
Minor Project
Internship Coordinator
Co-Coordinator of Quality Assurance Team (NAAC, NBA, etc.) of CCE Department.
Member of program advisory committee and question paper moderation committee of CCE Department.

Senior Member IEEE
Member of ACM Professional Society
Life Member of ISTE

V.S. Dhaka, S.V. Meena, G. Rani, D. Sinwar, M.F. Ijaz, and M. Woźniak, "A survey of deep convolutional neural networks applied for prediction of plant leaf diseases," Sensors, vol. 21, no. 14, 4749, 2021, doi: https://doi.org/10.3390/s21144749
A. Kumar, M. Saini, N. Gupta, D. Sinwar, D. Singh, M. Kaur, and H-N. Lee, "Efficient stochastic model for operational availability optimization of cooling tower using metaheuristic algorithms," IEEE Access vol. 10, pp. 24659-24677, 2022, doi: https://doi.org/10.1109/ACCESS.2022.3143541
D. Sinwar, V.S. Dhaka, N. Pradhan, and S. Pandey, "Offline script recognition from handwritten and printed multilingual documents: a survey," International Journal on Document Analysis and Recognition (IJDAR), vol. 24, pp. 97-121, 2021, doi: https://doi.org/10.1007/s10032-021-00365-5
N. Kumar, D. Sinwar, M. Saini, D. K. Saini, A. Kumar, M. Kaur, D. Singh, and H-N. Lee, "Efficient computational stochastic framework for performance optimization of E-waste management plant," Journal of King Saud University - Computer and Information Sciences, vol. 34, Issue 8, pp 4712-4728, 2022, doi: https://doi.org/10.1016/j.jksuci.2022.05.018
D. Sinwar, V. S. Dhaka, B.A. Tesfaye, G. Raghuwanshi, A. Kumar, S.K. Maakar, and S. Agarwal, "Artificial Intelligence and Deep Learning Assisted Rapid Diagnosis of COVID-19 from Chest Radiographical Images: A Survey", Contrast Media and Molecular Imaging, vol. 2022, doi: https://doi.org/10.1155/2022/1306664

Dr. Geeta Rani

Associate Professor Department of IoT and Intelligent System

geeta.rani@jaipur.manipal.edu
8168856779

PHD, UNIVERSITY OF DELHI,2017
M.TECH. (SOFTWARE ENGINEERING), MAHRISHI DAYANAND UNIVERSITY ROHTAK,2010
B.SC., MAHRISHI DAYANAND UNIVERSITY ROHTAK,2001
MPHIL, CHAUDHARY DEVI LAL UNIVERSITY, SIRSA,2007

Applications of Artificial Intelligence
Computer Vision

Excellence Award 2023
Excellence Award 2022
International Education Excellence Award 2021

Coordinator for two Clubs: 1 Global Grad 2. Turing Sapiens

International Coordinator for CCE
Mahindra & Mahindra industrial Coordinator

ACM
IEEE

Rugved Chavan, Aravind kanamarlapudi, Geeta Rani, Priyam Thakkar, Vijaypal Singh Dhaka, CrowdDCNN: Deep convolution neural network for real-time crowd counting on IoT edge, Engineering Applications of Artificial Intelligence, Volume 126, Part D, 2023, 107089, ISSN 0952-1976, https://doi.org/10.1016/j.engappai.2023.107089.
Nidhi Kundu, Geeta Rani, Vijaypal Singh Dhaka, Kalpit Gupta, Siddaiah Chandra Nayaka, Eugenio Vocaturo, Ester Zumpano,n Disease detection, severity prediction, and crop loss estimation in MaizeCrop using deep learning, Artificial Intelligence in Agriculture,Volume 6,2022,Pages 276-291,ISSN 2589-7217,https://doi.org/10.1016/j.aiia.2022.11.002.
Geeta Rani, Ankit Misra, Vijaypal Singh Dhaka, Deepak Buddhi, Ravindra Kumar Sharma, Ester Zumpano, Eugenio Vocaturo, A multi-modal bone suppression, lung segmentation, and classification approach for accurate COVID-19 detection using chest radiographs, Intelligent Systems with Applications, Volume 16, 2022, 200148, ISSN 2667-3053, https://doi.org/10.1016/j.iswa.2022.200148.
N. Pradhan, V. S. Dhaka, G. Rani, V. Pradhan, E. Vocaturo and E. Zumpano, "Conditional Generative Adversarial Network Model for Conversion of 2 Dimensional Radiographs Into 3 Dimensional Views," in IEEE Access, vol. 11, pp. 96283-96296, 2023, doi: 10.1109/ACCESS.2023.3307198.
Geeta Rani, Ankit Misra, Vijaypal Singh Dhaka, Ester Zumpano, Eugenio Vocaturo, Spatial feature and resolution maximization GAN for bone suppression in chest radiographs, Computer Methods and Programs in Biomedicine, Volume 224, 2022, 107024, ISSN 0169-2607, https://doi.org/10.1016/j.cmpb.2022.107024.

Dr. G L Saini

Assistant Professor (Selection Grade) Department of IoT and Intelligent System

gaindi.saini@jaipur.manipal.edu
8890191811

PHD, AMITY UNIVERSITY RAJASTHAN,2021
M.TECH., RAJASTHAN TECHNICAL UNIVERSITY KOTA,2013
B.E., UNIVERSITY OF RAJASTHAN,2007

Software Quality
Artificial Intelligence
MANETs

Member of MUJ Buddy System
Nucleous Member In Directorate of Alumni Relations

Exam Cell Member
Class Coordinator
Course Coordinator

IAENG
IET

Saini, G. L., Panwar, D., Kumar, S., Singh, V., & Poonia, R. C. (2021). Predicting of open source software component reusability level using object-oriented metrics by Taguchi approach. International Journal of Software Engineering and Knowledge Engineering, 31(02), 147-166.
GL, S., Panwar, D., & Singh, V. (2021). Software reliability prediction of open source software using soft computing technique. Recent Advances in Computer Science and Communications (Formerly: Recent Patents on Computer Science), 14(2), 612-621.
Saini, G. L., Panwar, D., Kumar, S., & Singh, V. (2020). A systematic literature review and comparative study of different software quality models. Journal of Discrete Mathematical Sciences and Cryptography, 23(2), 585-593.
Dubey, R. S., Singh, Y., Agarwal, P., Saini, G. L., & Singh, V. (2020). Some results on the new fractional derivative of generalized k-Wright function. Journal of Interdisciplinary Mathematics, 23(2), 607-615.
Pankwar, D., Saini, G. L., Agarwal, P., & Singh, P. (2022). Firefly optimization technique for software quality prediction. In Soft Computing: Theories and Applications: Proceedings of SoCTA 2021 (pp. 263-273). Singapore: Springer Nature Singapore.

Dr. Hemlata Goyal

Assistant Professor (Selection Grade) Department of IoT and Intelligent System

hemlata.goyal@jaipur.manipal.edu
91-9351302652

PHD, BANASTHALI VIDHYAPEETH,2018
MSC (COMPUTER SCIENCE), BANASTHALI UNIVERSITY,2004
BSC, UNIVERSITY OF RAJASTHAN,1996

Spatial Data Analytics
Machine Learning

All Rounder MUJ Excellence Award 2022
Key Enabler Award 2023

E-News Letter Coordinator, Mentor-Mentee Incharge

IEEE

R. Khandelwal, H. Goyal, and R. S. Shekhawat, "Comparative analysis of machine learning techniques using predictive modeling," Recent Advances in Computer Science and Communications, vol. 15, no. 3, Mar. 2022, doi: 10.2174/2666255813999200904164539.
S. K. Bothra, S. Singhal, and H. Goyal, "Hybrid JAYA algorithm for workflow scheduling in cloud," Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki I Optiki, vol. 23, no. 2, pp. 313-322, Apr. 2023, doi: 10.17586/2226-1494-2023-23-2-313-322.
S. K. Bothra, S. Singhal, and H. Goyal, "Cost effective hybrid genetic algorithm for workflow scheduling in cloud," Sistemnì Doslìdžennâ Ta Ìnformacìjnì Tehnologìï, no. 3, pp. 121-138, Oct. 2022, doi: 10.20535/srit.2308-8893.2022.3.08.
S. K. Bothra, S. Singhal, and H. Goyal, "Deadline-Constrained Cost-Effective Load-Balanced improved genetic algorithm for workflow scheduling," International Journal of Information Technology and Web Engineering, vol. 16, no. 4, pp. 1-34, Oct. 2021, doi: 10.4018/ijitwe.2021100101.
Singh A.;Singhal S.;Goyal H.;Vyas P. comparative study of natural language processing algorithms for electronic medical records, International Journal of Advanced Science and Technology, Volume 29, Year 2020, Pages 5416-5422

Dr. Pooja Gupta

Associate Professor Department of IoT and Intelligent System

pooja.gupta@jaipur.manipal.edu
9555904424

PHD, LINGAYA'S UNIVERSITY, FARIDABAD,2016
M.TECH., GURU GOBIND SINGH INDRAPRASTHA UNIVERSITY DELHI, 2008
B.E., MAHARSHI DAYANAND UNIVERSITY ROHTAK,2006

Wireless Network
Cloud Computing
IoT

Received Research Excellence award in LPU.
Scored 14th Position in nationl olympaid IPR

IEEE
ACM
IAEGN

"Pooja Gupta,kalpana Johari, "Implementation of Web Crawler" was accepted and published in the IEEE Computer Society (2nd International Conference organized by G.H. Raisoni college of engineering, Nagpur,December 2009."
Parminder Singh, Pooja Gupta, Kiran Jyoti,"TASM: Technocrat ARIMA and SVR Model for Workload Prediction of Web Applications in Cloud" is Published in the SCI Journal Cluster Computing, Publisher Springer, ISSN 1386-7857 ,sjr no. =0.34, Dec 2018 .
""Research on Auto Scaling Techniques for Web Applications in Cloud Computing: survey, trends and future scope", Scalable computing: Practice and experience, vol. 20., ISSN 1895-1767, pp. 399-431, srj=o.18, 2019 (Free, Scopus, ESCI). parminder Singh, Pooja Gupta, Kiran Jyoti, Anand Nayyar,"Research on Auto Scaling Techniques for Web Applications in Cloud Computing: survey, trends and future scope", Scalable computing: Practice and experience, vol. 20., ISSN 1895-1767, pp. 399-431, srj=o.18, 2019 (Free,"Research on Auto Scaling Techniques for Web Applications in Cloud Computing: survey, trends and future scope", Scalable computing: Practice and experience, vol. 20., ISSN 1895-1767, pp. 399-431, srj=o.18, 2019 (Free, Scopus, ESCI)."
Avinash Kaur, Pooja Gupta, Manpreet Singh, Anand Nayyar"Data Placement in Era Of Cloud Computing: A Survey, Taxonomy And Open Research Issues", Scalable Computing: Practice and Experience ,vol. 20., ISSN 1895-176, pp. 377-398, srj=o.18, Nov. 2019 (Scopus, ESCI, unpaid)
Parminder Singh, Avinash Kaur, Pooja Gupta, Sukhpal Singh Gill, Kiran Jyoti,"RHAS: robust hybrid auto-scaling for web applications in cloud computing", published in an international journal of cluster computing , ISSN-13867857, vol no. 24, Issue No. 2,DOI:10.1007/s10586-020-03148-5, Page 717-737, July 2020

Mr. Rajesh Kumar

Assistant Professor (Selection Grade) Department of IoT and Intelligent System

rajesh.kumar@jaipur.manipal.edu
9813327133, 7015889075

PHD, MANIPAL UNIVERSITY JAIPUR, PURSUING
M.TECH., GURU JAMBHESHWAR UNIVERSITY OF SCIENCE AND TECHNOLOGY,2010
B.E., INSTITUTE OF TECHNOLOGY AND MANAGEMENT, GWALIOR,2008

Networking
5G Wireless Technology
QoS

A. Masand, S. Chauhan, M. Jangid, R. Kumar and S. Roy, "ScrapNet: An Efficient Approach to Trash Classification," in IEEE Access, vol. 9, pp. 130947-130958, 2021, doi: 10.1109/ACCESS.2021.3111230.
Rajesh Kumar, Amit Pandey, Rabira Geleta Ibsa, Deepak Sinwar & Vijaypal Singh Dhaka (2021) Study of social and geographical factors affecting the spread of COVID-19 in Ethiopia, Journal of Statistics and Management Systems, 24:1, 99-113, DOI: 10.1080/09720510.2020.1843275
Kumar, R., Sinwar, D., Pandey, A., Tadele, T., Singh, V., Raghuwanshi, G. (2022). IoT Enabled Technologies in Smart Farming and Challenges for Adoption. In: Pattnaik, P.K., Kumar, R., Pal, S. (eds) Internet of Things and Analytics for Agriculture, Volume 3. Studies in Big Data, vol 99. Springer, Singapore. https://doi.org/10.1007/978-981-16-6210-2_7
Kumar, R., Sinwar, D., Singh, V. (2023). Performance Analysis of 5G NR Cell Using Classical Scheduling Algorithms and Different MIMO. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Infrastructure and Computing. ICT4SD 2023. Lecture Notes in Networks and Systems, vol 754. Springer, Singapore. https://doi.org/10.1007/978-981-99-4932-8_34
Kumar, R., Sinwar, D., Singh, V. (2023). 5G New Radio Physical Downlink Shared Channel Throughput Analysis with Different Numerology and Modulation Schemes. In: Kumar, R., Verma, A.K., Sharma, T.K., Verma, O.P., Sharma, S. (eds) Soft Computing: Theories and Applications. Lecture Notes in Networks and Systems, vol 627. Springer, Singapore. https://doi.org/10.1007/978-981-19-9858-4_62

Dr. Renu Kumawat

Associate Professor Department of IoT and Intelligent System

renu.kumawat@jaipur.manipal.edu
+91-9784584471

PHD, MNIT JAIPUR,2015
MTECH, BANASTHALI UNIVERSITY,2006
BE, UNIVERSITY OF RAJASTHAN,2004

VLSI Design
Data Science and Engineering

GATE 2004

Faculty Advisor of IEEE Sensors Council Manipal University Jaipur, Student Branch

Budget and Purchase Coordinator
PAC Coordinator of Dept. of CCE
Mentor-Mentee Coordinator
Class Commiteee Coordinator

IEEE
IETE
ACM

N. Jain, K. Singh, S. K. Sharma, R. Kumawat, "Analog/RF Performance Analysis of a-ITZO Thin Film Transistor", Silicon (2022). https://doi.org/10.1007/s12633-021-01601-7
N. Jain, S. K. Sharma, R. Kumawat, P. K. Jain, D. Kumar, and R. Vyas, "Resistive switching, endurance and retention properties of ZnO/HfO2 bilayer heterostructure memory device," Micro and Nanostructures, vol. 169, no. 207366, p. 207366, 2022.
J.K. Saini, A. Srinivasulu, R. Kumawat, "A low power-high speed CNTFETs based full adder cell with overflow detection", Micro and Nanosystems, vol. 11, issue 1, pp. 80-87, 2019, ISSN:1876-4029, e-ISSN: 1876-4037, DOI: 10.2174/187640291166619021 1154634
R. Kumawat, V. Sahula, and M.S. Gaur, "Probabilistic Modeling and Analysis of Molecular Memory", ACM Journal on Emerging Technologies in Computing Systems(JETC), vol. 11, no. 1, pp. 6:1-6:16, September 2014, doi: http://dx.doi.org/10.1145/2629533
Kumawat, A. K., Rout, R., Kumawat, R., and Rawat, M., "Discrete-Time Constrained Controller for Proportional Directional Control Valve-Based Electrohydraulic System With Parametric Uncertainty and Disturbances," Journal of Dynamic Systems, Measurement and Control, Transactions of the ASME, vol. 145, no. 7, pp: 071001, 2023. DOI: https://doi.org/10.1115/1.4062469

Dr. Rohit Mittal

PHD, POORNIMA UNIVERSITY, 2021
MTECH, SURESH GYAN VIHAR UNIVERSITY, JAIPUR, 2014
B.E., UNIVERSITY OF RAJASTHAN, 2008

Robotics
Path optimization

Rank Holder in B.E
Project "18 DOF Hexapod robot" secured position at National level in India International Science Festival, 2018

Nucleus Member in E Cell

Social Media Coordinator
Minor Project Co-Coordinator
Class and Course Coordinator

"R Mittal, N Mishra, V Pathak, ""Exploration of Designed Robot in Non Linear Movement Using EKF SLAM and Its Stability on Loose Concrete Surface""International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249 - 8958, Volume-9 Issue-1, October 2019, 10.35940/ijeat.A9398.109119"
Mittal, R., Pathak, V., Mishra, N., Mithal, A. (2019). Localization and Impulse Analysis of Experimental Bot Using eZ430-Chronos. In: Mishra, S., Sood, Y., Tomar, A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-13-6772-4_61
Mittal, Rohit, Pathak, Vibhakar, Chhabra Gandhi, Geeta, Mithal, Amit and Lakhwani, Kamlesh. "Chapter 9 Application of machine learning in SLAM algorithms". Machine Learning for Sustainable Development, edited by Kamal Kant Hiran, Deepak Khazanchi, Ajay Kumar Vyas and Sanjeevikumar Padmanaban, Berlin, Boston: De Gruyter, 2021, pp. 147-160. https://doi.org/10.1515/9783110702514-009
Mittal, R., Pathak, V., Goyal, S., Mithal, A. (2020). A Novel Approach to Localized a Robot in a Given Map with Optimization Using GP-GPU. In: Sharma, H., Pundir, A., Yadav, N., Sharma, A., Das, S. (eds) Recent Trends in Communication and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-0426-6_17
R Mittal, V Pathak, A Mithal "Introduction to computational intelligence for sustainable materials",Computational Intelligence based Optimization of Manufacturing Process for Sustainable Materials,1-13, CRC Press, 2024

Mr. Rohit Singh

Assistant Professor (Senior Scale) Department of IoT and Intelligent System

rohit.singh@jaipur.manipal.edu
9660017059

Security and Privacy

GATE 2010

Class Coordinator
Social Media Committee Member

SINGH, ROHIT, LALIT KUMAR AWASTHI, and KP SHARMA. "EEDF: Enhanced Encryption Decryption Framework for Device Authentication in IoT." Adhoc & Sensor Wireless Networks 56 (2023).
Singh, Rohit, Lalit Kumar Awasthi, and K. P. Sharma. "Distributed denial-of-service attacks and mitigation in wireless sensor networks." Distributed Denial of Service Attacks: Concepts, Mathematical and Cryptographic Solutions 6 (2021): 67.
Tyagi, Garima, and Rohit Singh. "Implementing call system using natural language processing tools." Proceedings of 2nd International Conference on Advanced Computing and Software Engineering (ICACSE). 2019.
Tyagi, Garima, Rohit Singh, and Dr Abid Hussain. "Applications of genetic algorithm in water resources management and optimization." Proceedings of 2nd international conference on advanced computing and software engineering (ICACSE). 2019.
Hussain, Ashik, et al. "Shrinking hyper-sphere based artificial bee colony algorithm." 2015 International Conference on Computer, Communication and Control (IC4). IEEE, 2015.

SINGH, ROHIT, LALIT KUMAR AWASTHI, and KP SHARMA. "EEDF: Enhanced Encryption Decryption Framework for Device Authentication in IoT." Adhoc & Sensor Wireless Networks 56 (2023).
Singh, Rohit, Lalit Kumar Awasthi, and K. P. Sharma. "Distributed denial-of-service attacks and mitigation in wireless sensor networks." Distributed Denial of Service Attacks: Concepts, Mathematical and Cryptographic Solutions 6 (2021): 67.
Tyagi, Garima, and Rohit Singh. "Implementing call system using natural language processing tools." Proceedings of 2nd International Conference on Advanced Computing and Software Engineering (ICACSE). 2019.
Tyagi, Garima, Rohit Singh, and Dr Abid Hussain. "Applications of genetic algorithm in water resources management and optimization." Proceedings of 2nd international conference on advanced computing and software engineering (ICACSE). 2019.

Dr. Sandeep Singh

Associate Professor Department of IoT and Intelligent System

sandeep.singh@jaipur.manipal.edu
+91 9899123541

Dr. Usha Choudhary

Assistant Professor Department of IoT and Intelligent System

usha.choudhary@jaipur.manipal.edu
8890670250

PHD, MNIT JAIPUR,2021
M.TECH., RAJASTHAN TECHNICAL UNIVERSITY KOTA,2014
B.E., JAI NARAYAN VYAS UNIVERSITY, JODHPUR,2001

Communication
5G/6G Technologies
IoT

UPSC(ESE)-2005 AIR-23
GATE (2003)- 99.67 Percentile

BoS Member Secratary
Student Grievance Committee Member Secratary

IEEE

Usha Choudhary, Vijay Janyani, "Bandwidth Efficient Frame Structures for Flip OFDM with Phase Conjugated Sub Carriers and LDPC Encoding", Optik-2020, DOI:10.1016/j.ijleo.2020.164175 [SCI]
Usha Choudhary, Vijay Janyani, "ACO--OFDM with Improved Bandwidth Efficiency over Long Haul and MIMO Optical Fiber Communication Systems", IETE Journal of Research, Springer, 2019, DOI: 10.1080/03772063.2019.1689856 [SCI]
Usha Choudhary, Vijay Janyani, "Dual Frame OFDM with Optical Phase Conjugation for MIMO System in Multimode Fiber", Optical and Quantum Electronics, Springer, 2020, DOI: 10.1007/s11082-020-02457-8 [SCI]
Usha Choudhary, Vijay Janyani, Muhammad Arif Khan, "Optical Phase Conjugation with Dual Frame OFDM for Dispersion and Nonlinearity Mitigation over Multimode Fiber" Optical and Quantum Electronics 53, 90 (2021). [SCI]
Usha Choudhary, Vijay Janyani, "Orthogonal frequency division multiplexing for mitigation of optical fiber channel impairments", Journal of Optics, Feb. 2021

Dr. Vijay Shankar Sharma

Assistant Professor (Senior Scale) Department of IoT and Intelligent System

vijayshankar.sharma@jaipur.manipal.edu
9602834440, 8949241164

PHD, JAI NARAYAN VYAS UNIVERSITY, JODHPUR, PURSUING
M.E., JAI NARAYAN VYAS UNIVERSITY, JODHPUR,2013
B.E., JAI NARAYAN VYAS UNIVERSITY, JODHPUR,2008

Big Data Analytics
Hadoop
HDFS
AI/ML

Rank Holder in B.Tech ,M.Tech,
All Over Rajasthan III Rank in Engg. Diploma,

Nucleous Member

Class and Course Coordinator

IEEE
ACM

V. S. Sharma, A. Afthanorhan, N. C. Barwar, S. Singh and H. Malik, "A Dynamic Repository Approach for Small File Management With Fast Access Time on Hadoop Cluster: Hash Based Extended Hadoop Archive," in IEEE Access, vol. 10, pp. 36856-36867, 2022, doi: 10.1109/ACCESS.2022.3163433.
V. S. Sharma and N. C. Barwar, "An Efficient Approach to Enhance the Scalability of the HDFS: Extended Hadoop Archive (EHAR)," 2021 Emerging Trends in Industry 4.0 (ETI 4.0), Raigarh, India, 2021, pp. 1-6, doi: 10.1109/ETI4.051663.2021.9619367.
Sharma, V.S., Barwar, N.C. (2021). Data Management Techniques in Hadoop Framework for Handling Small Files: A Survey. In: Goyal, D., Bălaş, V.E., Mukherjee, A., Hugo C. de Albuquerque, V., Gupta, A.K. (eds) Information Management and Machine Intelligence. ICIMMI 2019. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-4936-6_48

Dr. Sourabh Singh Verma

Associate Professor Department of IoT and Intelligent System

sourabhsingh.verma@jaipur.manipal.edu
91-9829295079

PHD, MODY INSTITUTE OF TECHNOLOGY AND SCIENCE LAKSHMANGARH, 2018
MTECH, MODY INSTITUTE OF TECHNOLOGY AND SCIENCE LAKSHMANGARH, 2009

Machine Learning
Computer Vision

Young researcher award 2021-22 and top researcher award for two months

KPI coordinator

IEEE

Arya, A.D., Verma, S.S., Chakarabarti, P. et al. A systematic review on machine learning and deep learning techniques in the effective diagnosis of Alzheimer's disease. Brain Inf. 10, 17 (2023).
Sourabh Singh Verma, Ajay Prasad, Anil Kumar, CovXmlc: High-performance COVID-19 detection on X-ray images using Multi-Model classification, Biomedical Signal Processing and Control, Volume 71, Part B, 2022, 103272, ISSN 1746-8094 (Scopus(Q1) and SCIE indexed with impact factor 5.07).
A. Prasad, S. S. Verma, P. Dahiya and A. Kumar, "A Case Study on the Monitor Mode Passive Capturing of WLAN Packets in an On-the-Move Setup," in IEEE Access, vol. 9, pp. 152408-152420, 2021, doi: 10.1109/ACCESS.2021.3127079. (indexed in Scopus(Q1) and SCIE with impact factor 3.36).
Sourabh Singh Verma, R.B.Patel, Anil Kumar "Analyzing Real Flows Performance in MANET using Dynamic Queue", Journal of Information and Optimization Sciences, Tayler and Francis, Volume 38, 2017 - Issue 6.

Dr. Praveen Kumar Shukla

Assistant Professor (Selection Grade) Department of IoT and Intelligent System

praveen.shukla@jaipur.manipal.edu
7999517129, 9752179515

PHD, NIT RAIPUR,2021
M.TECH., VIT UNIVERSITY, 2015
B.E., RAJIV GANDHI PROUDYOGIKI VISHWAVIDYALA, BHOPAL,2012

Brain Computer Interfacing
Machine Learning
IOT

Outstanding thesis & dissertation award by CIEMA
Achieved Best Paper Award in IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI-2022 Gwalior).
Achieved Best Paper Award 3rd international conference on computational intelligence and knowledge economy (ICCIKE-Dubai 2023).

Co- Coordinator for Time Table
Member of Budget Team

Praveen Kumar Shukla, Rahul Kumar Chaurasiya and Shrish Verma, "Performance Improvement of P300-based Home Appliances Control Classification using Convolution Neural Network" published in Biomedical Signal Processing Control (BSPC)-Elsevier, 63, 102220, 2021. (https://doi.org/10.1016/j.bspc.2020.102220)
Praveen Kumar Shukla, Rahul Kumar Chaurasiya and Shrish Verma, "A P300-based Thresholding-Free Approach for State Detection in Home Environment Applications" Published in IEEE sensor Journal- IEEE, 21(15), 16927-16936. (10.1109/JSEN.2021.3078512).
Praveen Kumar Shukla, Rahul Kumar Chaurasiya and Shrish Verma, "Brain-computer interface-based single-trial P300 detection for home environment application" published in Institution of Engineering and Technology (IET) Electronics Latter, 56(25), 1392-1395.2020 ( https://doi.org/10.1049/el.2020.2488).
Praveen Kumar Shukla, Rahul Kumar Chaurasiya and Shrish Verma, "Single-channel Region- based speller for Controlling Home Appliances" published in International Journal of E-Health and Medical Communications (IJEHMC), Volume 11, Issue 4, 2020.(DOI: 10.4018/IJEHMC.2020100105)
"• Narendra khatri, Guduru Dhanush, Sandeep Kuma, Praveen Kumar Shukla, "A comprehensive review of machine vision systems and artificial intelligence algorithms for the detection and harvesting of agricultural produce" Scientific African, (2023): e01798 (https://doi.org/10.1016/j.sciaf.2023.e01798). "