Department Of Computer & Communication Engineering| Faculty of Engineering(FOE) At Manipal University Jaipur, MUJ

FACULTY OF ENGINEERING

OVERVIEW

The Department of Computer & Communication Engineering (CCE) at Manipal University Jaipur was started in 2015. The objective of the department is to bring computer and communication together, which includes concepts and practices of software and hardware of computers, information networks, wireless communication systems, etc. One of the most extensive educational programs, strengthened by research in its developing field, is provided by the Department of CCE. The department conducts research on a wide range of computer and communication engineering system problems. Machine Learning, Internet of Things (IoT), Web Technologies, Advance Computer Networking, Network and Information Security, Wireless Communication, Network on Chip (NoC), Software Testing, Computer Architecture, and Embedded Systems are some of the key areas.

VISION

Inculcate academic excellence and research aptitude for social development

MISSION

Nurture the technical skillset of students to enable them to create an innovative solution.
Sharpen the problem-solving skills through project-based learning.
Serve society by inspiring young minds for research and innovation with ethical 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 (Computer & Communication Engineering)

TEACHING FACULTY View all faculties

Dr. Vijaypal Singh Dhaka

Professor

Department of Computer and Communication Engineering

Dr. Sunil Kumar

Professor & Head

Department of Computer and Communication Engineering

Dr. Gulrej Ahmed

Associate Professor

Department of Computer and Communication Engineering

Dr. Manoj Kumar Sharma

Associate Professor (Senior Scale)

Department of Computer and Communication Engineering

Dr. Arjun Singh

Associate Professor (Senior Scale)

Department of Computer and Communication Engineering

Dr. Kusumlata Jain

Associate Professor

Department of Computer and Communication Engineering

Dr. Ghanshyam Raghuwanshi

Associate Professor

Department of Computer and Communication Engineering

Dr. Vaishali Yadav

Associate Professor

Department of Computer and Communication Engineering

Dr. Somya Rakesh Goyal

Assistant Professor (Selection Grade)

Department of Computer and Communication Engineering

Mr. Jitendra Singh Yadav

Assistant Professor (Selection Grade)

Department of Computer and Communication Engineering

Mr. Vivek Sharma

Assistant Professor (Selection Grade)

Department of Computer and Communication Engineering

Dr. Amit Chaurasia

Assistant Professor (Selection Grade)

Department of Computer and Communication Engineering

Dr. Lal Pratap Verma

Associate Professor

Department of Computer and Communication Engineering

Dr. Vijay Shankar Sharma

Assistant Professor (Senior Scale)

Department of Computer and Communication Engineering

Dr. Arpit Kumar Sharma

Assistant Professor

Department of Computer and Communication Engineering

Ms. Anshika Malsaria

Assistant Professor (Senior Scale)

Department of Computer and Communication Engineering

Dr. Sandeep Kumar Sharma

Assistant Professor (Selection Grade)

Department of Computer and Communication Engineering

Dr. Anubhav Shivhare

Assistant Professor

Department of Computer and Communication Engineering

Mr. Pramod Singh Rathore

Assistant Professor (Senior Scale)

Department of Computer and Communication Engineering

Mr. Siddhanta Kumar Singh

Assistant Professor (Selection Grade)

Department of Computer and Communication Engineering

Mr. Saumitra Gangwar

Assistant Professor

Department of Computer and Communication Engineering

Ms. Hema Shekhawat

Assistant Professor

Department of Computer and Communication Engineering

Mr. Sadineni Lakshminarayana

Assistant Professor

Department of Computer and Communication Engineering

Mr. Abhishek Narwaria

Assistant Professor

Department of Computer and Communication Engineering

Dr. Shalini Pathak

Assistant Professor (Senior Scale)

Department of Computer and Communication Engineering

Dr. Amit Kumar Sharma

Assistant Professor (Selection Grade)

Department of Computer and Communication Engineering

Dr. Arvind Dhaka

Associate Professor

Department of Computer and Communication Engineering

Dr. Punit Gupta

Associate Professor

Department of Computer and Communication Engineering

Dr. Suresh Jha

Department of Computer and Communication Engineering

Mr.Aditya Narayan Hati

Department of Computer and Communication Engineering

PLACEMENTS & INTERNSHIPS

ANANIYA SARDANA

B.Tech (CCE)

AMAZON DEVELOPMENT CENTRE (INDIA) PRIVATE LIMITED

AULI BADONI

B.Tech (CCE)

TATA TECHNOLOGIES

HARSH SHARMA

AMAZON DEVELOPMENT CENTRE (INDIA) PRIVATE LIMITED

TANISHKA MOHAN

B.Tech (CCE)

DABUR INTERNATIONAL LTD

ASHISH BAWA

B.Tech (CCE)

MARUTI SUZUKI INDIA LTD

OJASWI SINGH

B.Tech (CCE)

Amazon

DEVIKA SAPRA

B.Tech (CCE)

Amazon

KINJAL ASAWA

B.Tech (CCE)

Amazon

AAKASH CHAUDHARY

B.Tech (CCE)

Amazon

ANMOL WASSAN

B.Tech (CCE)

Amazon

HARDIK HEMANT

B.Tech (CCE)

Amazon

KARTIK BELWAL

B.Tech (CCE)

Amazon

DHWAJ SHARMA

B.Tech (CCE)

Amazon

HARDIK SRIVASTAVA

B.Tech (CCE)

Headout

PRATHMA BHATT

B.Tech (CCE)

JP Morgan

AAGAM SHAH

B.Tech (CCE)

Cisco

TANISHQ MAHESHWARI

B.Tech (CCE)

Cisco

Riya Tyagi

B.Tech (CCE)

Microsoft

Shubhi Jain

B.Tech (CCE)

Microsoft

FACILITIES @MUJ

Programming Lab-II
Computer Network Lab
Programming Lab
Machine Learning Lab
High performance Computing lab
Software Engineering Lab

Programming Lab-II

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

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

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

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

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

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

FROM THE

STUDENT THOUGHTS

One of the best decisions of my life is opting for CCE in Manipal University, Jaipur! The department is full of prospects and opportunities! It has the best faculty. Every teacher of the department is supportive and guides the students. CCE has imparted great technical skills to us both through theory and practical implementations.

Aahna MishraDepartment of Computer and Communication Engineering

CCE provided me with an exceptional education, valuable experiences, and a strong foundation for my future career in engineering. I am confident that it can do the same for everyone, and I encourage all to consider it as their college of choice.

Parv MishraDepartment of Computer and Communication Engineering

The computer and communication course at Manipal University Jaipur provided me with a solid foundation in both theoretical knowledge and practical skills. The well-equipped labs allowed us to apply what we learned in the classroom, and the teachers were always available to provide guidance and support

Nripendra AnandDepartment of Computer and Communication Engineering

The knowledgeable and enthusiastic teaching members have really fueled my interest for technology. The curriculum is also well-designed and often updated to make sure we are learning the most current and cutting-edge ideas and technologies. It has undoubtedly been a rewarding academic experience so far.

Clely FernandesDepartment of Computer and Communication Engineering

CCE department in MUJ offers a great exposure and opportunity for students. Department and faculty have always guided students in research and academic endeavours.

Srijan DasDepartment of Computer and Communication Engineering

I am thrilled to share my experience with the School of Computer and Communication. Enrolling in this institution was one of the best decisions I have made in my academic journey.

Devangi TelwaniDepartment of Computer and Communication Engineering

As a student of CCE, my experience has been very enriching. The expansive curriculum covers a broad range of subjects and ideas, while never being too burdensome on the students. With the guidance of the excellent and experienced faculty, I have been able to explore and pursue my technological interests.

Raga Bhavana RupanagudiDepartment of Computer and Communication Engineering

Muj recognizes and appreciates your hard work. You will get every opportunity here to bring out your talent. Professors are willing to lead you to achieve success in life. Any time you fall over, they teach you to stand up the next time.

Tanya MishraDepartment of Computer and Communication Engineering

I have always aspired to pursue engineering, not just for academic learning but also to gain practical knowledge through working on research papers and projects. I believe I made the best decision by enrolling in the Computer and Communication Engineering program at Manipal University Jaipur. It has greatly facilitated my knowledge in the domains of Machine Learning and IoT.. The curriculum was meticulously designed, enabling me to undertake multiple internships within 4 years, including at SAP, Bristlecone, E42, and Mahindra. Moreover, the labs were well-equipped with all necessary resources, especially in terms of GPUs and systems. The professors were exceptionally supportive, guiding me in publishing top-quality research papers, filing patents, undertaking projects, and crafting my Statement of Purpose. Their guidance played a crucial role in securing my admission to the esteemed "University of Virginia" for my MSCS program

Rugved ChavanDepartment of Computer and Communication Engineering

My decision to join the Computer and Communication Engineering Department at Manipal University Jaipur (MUJ) proved to be transformative and immensely rewarding. Throughout my undergraduate journey, I was fortunate to receive unwavering support and guidance from exceptional faculty members. Under their mentorship, I delved into a field I was truly passionate about, engaging in high-impact projects that expanded my horizons. The hands-on experience I gained at MUJ was invaluable and set the stage for a significant internship opportunity at Harness, a renowned technology company. MUJ was the cornerstone of my educational and professional growth.

Sayantan MondalDepartment of Computer and Communication Engineering

Achievements

Student Achievements

Odyssey, Amity Techno Cultural Fest

Ist-Position

Battle of Bands competition at LNMIT Jaipur

Winner’s trophy

RTU Smart Business Hackathon 2019

Special Recommendation Award Of Prize Money Rs. 11,000/-

Government Of Rajasthan-National Hackathon 2019

Ist Of Rs. 1,00,000/-

Semicolon Hackathon 3.0 2019

IIIrd Position

Inter-College Dune Dance and Music Competition organized by Amity University Jaipur

Ist runner up trophy

Hackathon-RTU Shankara Hackathon 2020

Ist prize of Rs. 75,000/-

RREP_Product Design Competition an International Event

Participation

10th Rakathon-2 an International Event

Participation

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

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. Vijaypal Singh Dhaka

Professor Department of Computer and Communication Engineering

vijaypalsingh.dhaka@jaipur.manipal.edu
95301 83247

PHD, DR. BHIM RAO AMBEDKAR UNIVERSITY, AGRA, 2010
MTECH, JAIPUR NATIONAL UNIVESITY,2012
B.SC, S.K. GOVT COLLEGE SIKAR,2000

Medical Imaging
Pattern Recognition
AI applications

V. J. Aski, V. S. Dhaka, A. Parashar, S. kumar, and I. Rida, "Internet of Things in healthcare: A survey on protocol standards, enabling technologies, WBAN architectures and open issues", Phys. Commun., p. 102103, Jun. 2023. [Online]. Available: https://doi.org/10.1016/j.phycom.2023.102103
D. Chaudhary, S. Kumar, and V. S. Dhaka, "Video based human crowd analysis using machine learning: a survey", Comput. Methods Biomechanics Biomed. Engineering: Imag. & Visualization, vol. 10, no. 2, pp. 113-131, Oct. 2021. [Online]. Available: https://doi.org/10.1080/21681163.2021.1986859
V. J. Aski, V. S. Dhaka, S. Kumar, S. Verma, and D. B. Rawat, "Advances on networked ehealth information access and sharing: Status, challenges and prospects", Comput. Netw., vol. 204, p. 108687, Feb. 2022. [Online]. Available: https://doi.org/10.1016/j.comnet.2021.108687
V. S. Dhaka, Manoj Kumar Sharma, "An Efficient Segmentation Technique for Devanagari Offline Handwritten Scripts using the FeedForward Neural Network", International 5Journal: Neural Computing & Applications, Vol.26, No.8, pp.1881-1893, 2015 Q1, SCI, Scopus, 5.606.
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.

Dr. Sunil Kumar

Professor & Head Department of Computer and Communication Engineering

kumar.sunil@jaipur.manipal.edu
+91 9911574497

PHD, NIT, DURGAPUR, PURSUING
M.TECH., NIT, DURGAPUR,2017
B.TECH., GAUTAM BUDDH TECHNICAL UNIVERSITY, LUCKNOW, 2012

Machine Intelligence

MUJ Excellence Award 2023
MUJ Excellence Award 2022

Head
Dept of Computer and Communication Engineering

IEEE
ACM
IEI
CSI
IUPRAI

V. J. Aski, V. S. Dhaka, A. Parashar, S. kumar, and I. Rida, "Internet of Things in healthcare: A survey on protocol standards, enabling technologies, WBAN architectures and open issues", Phys. Commun., p. 102103, Jun. 2023. [Online]. Available: https://doi.org/10.1016/j.phycom.2023.102103
Shally, S. Kumar, and P. Gupta, "Energy efficient resource optimization algorithm for cloud infrastructure", J. Intell. & Fuzzy Syst., pp. 1-11, Sep. 2022. [Online]. Available: https://doi.org/10.3233/jifs-220535
D. Chaudhary, S. Kumar, and V. S. Dhaka, "Video based human crowd analysis using machine learning: a survey", Comput. Methods Biomechanics Biomed. Engineering: Imag. & Visualization, vol. 10, no. 2, pp. 113-131, Oct. 2021. [Online]. Available: https://doi.org/10.1080/21681163.2021.1986859
V. J. Aski, V. S. Dhaka, S. Kumar, S. Verma, and D. B. Rawat, "Advances on networked ehealth information access and sharing: Status, challenges and prospects", Comput. Netw., vol. 204, p. 108687, Feb. 2022. [Online]. Available: https://doi.org/10.1016/j.comnet.2021.108687
S. Vats, S. K. Sharma, and S. Kumar, "A Switch Based Resource Management Method for Energy Optimization in Cloud Data Center", Int. J. Comput., vol. 20, no. 1, pp. 85-91, Mar. 2021. [Online]. Available: https://doi.org/10.47839/ijc.20.1.2103

Dr. Gulrej Ahmed

Associate Professor Department of Computer and Communication Engineering

gulraj.ahmed@jaipur.manipal.edu
9329683555

PHD, MAULANA AZAD NATIONAL INSTITUTE OF TECHNOLOGY, BHOPAL (NIT),2015
ME, DEVI AHILYA VISHVAVIDHYALAYA, INDORE,2006
BE, RAJIV GANDHI PROUDYOGIKI VISHWAVIDYALA, BHOPAL,2001

Wireless Communication
AIML

Alumni Cordinator

IEEE

B. S. Kirar, G. Ahmed and D. K. Agrawal, "Decomposition Methods: A Comparative Analysis using Entropy Feature from Fundus Images," 2021 Emerging Trends in Industry 4.0 (ETI 4.0), Raigarh, India, 2021, pp. 1-7, doi: 10.1109/ETI4.051663.2021.9619195.
Gulrej Ahmed & Rajendra Kumar Baghel (2017) Performance evaluation of a new single-ended comparator for low-power high-speed flash ADC, International Journal of Electronics Letters, 5:2, 199-21
Chaturvedi, Mudit, Shilpa Sharma, and Gulrej Ahmed. "Risks of Data Breaches and Mitigating Controls in Financial Sector." In Intelligent Computing Techniques for Smart Energy Systems: Proceedings of ICTSES 2021, pp. 709-721.
Tanishka Mohan, Gulrej Ahmed, Hemlata Goyal, and Bhupendra Singh Kirar. "Prediction and Analysis of Cardiovascular Disease Using Multivariate Logistics Regression Classification." In Futuristic Trends in Networks and Computing Technologies: Select Proceedings of Fourth International Conference on FTNCT 2021, pp. 815-822.
M. Agarwal, R. Goyal, E. Verma, H. Goyal, G. Ahmed and S. Singhal, "Predictive Sentimental Analysis of Spam Detection using Machine Learning," 2021 International Conference on Computing, Communication and Green Engineering (CCGE), Pune, India, 2021, pp. 1-6, doi: 10.1109/CCGE50943.2021.9776352.

Dr. Manoj Kumar Sharma

Associate Professor (Senior Scale) Department of Computer and Communication Engineering

manojkumar.sharma@jaipur.manipal.edu
+ 91 97850 36780

PHD, JAIPUR NATIONAL UNIVESITY,2017
ME, JAIPUR NATIONAL UNIVESITY,2012
BE, INSTITUTE OF ADVANCED STUDIES IN EDUCATION,2007

AI&ML

Ruchi Jain, Ruchika Mehta, Manoj Kumar Sharma, Tripti Mehta, Hijaz Ahmad, and Fairouz Tchier, "Numerical analysis of heat and mass transport of hybrid nanofluid over an extending plate with inclined magnetic field in presence of Soret and dufour Effect", Modern Physics Letters B, 2023, SCI, Scopus, impact factor 1.9. https://doi.org/10.1142/S0217984924500374
https://www.mililink.com/upload/article/999387404aams_vol_226_april_2023_a15_p1209-1229_sanju_jangid_et_al..pdf
M. K. Sharma, V. S Dhaka, "Segmentation of english Offline handwritten cursive scripts using a feedforward neural network", International Journal: Neural Computing & Applications, Vol.27, No.5, pp.1369-1379, 2016 , Q1, SCI, Scopus, impact factor 5.606. https://link.springer.com/article/10.1007/s00521-015-1940-x
V. S. Dhaka, Manoj Kumar Sharma, "An Efficient Segmentation Technique for Devanagari Offline Handwritten Scripts using the FeedForward Neural Network", International 5Journal: Neural Computing & Applications, Vol.26, No.8, pp.1881-1893, 2015 Q1, SCI, Scopus, 5.606.
M. K. Sharma, V. S Dhaka, "Pixel plot and trace based segmentation method for bilingual handwritten scripts using feedforward neural network ", International Journal: Neural Computing & Applications, Vol.27, No.7, pp.1817-1829, 2016, Q1, SCI, Scopus, impact factor 5.606. https://link.springer.com/article/10.1007/s00521-015-1972-2

Dr. Arjun Singh

Associate Professor (Senior Scale) Department of Computer and Communication Engineering

arjun.singh@jaipur.manipal.edu
+91 96022 85688

PHD, SURESH GYAN VIHAR UNIVERSITY, JAIPUR,2015
MTECH, VELLORE INSTITUTE OF TECHNOLOGY,2006

Network Security
Computer Networks

MUJ Excellence Award 2023
MUJ Excellence Award 2022
CISCO Instuctor Excellence Award

Placement Coordinator

IEEE and ACM

Gupta S, Goel L, Singh A, Agarwal AK, Singh RK. TOXGB: Teamwork Optimization Based XGBoost model for early identification of post-traumatic stress disorder. Cogn Neurodyn. 2022 Aug;16(4):833-846. doi: 10.1007/s11571-021-09771-1. Epub 2022 Jan 6. PMID: 35018201; PMCID: PMC8734551.
Kaur, M., Singh, S., Kaur, M. et al. A Systematic Review of Metaheuristic-based Image Encryption Techniques. Arch Computat Methods Eng 29, 2563-2577 (2022). https://doi.org/10.1007/s11831-021-09656-w
Sharma, V.K., Sharma, P.C., Goud, H. et al. Hilbert quantum image scrambling and graph signal processing-based image steganography. Multimed Tools Appl 81, 17817-17830 (2022). https://doi.org/10.1007/s11042-022-12426-w
Singh, A., Chauhan, S., Gupta, S., & Yadav, A. K. (2022). Intrusion Detection System Using Deep Learning Asymmetric Autoencoder (DLAA). International Journal of Fuzzy System Applications (IJFSA), 11(2), 1-17. http://doi.org/10.4018/IJFSA.296590

Dr. Kusumlata Jain

Associate Professor Department of Computer and Communication Engineering

kusumlata.jain@jaipur.manipal.edu
91-9828133885

PHD, BANASTHALI VIDHYAPEETH,2016
MTECH, BANASTHALI UNIVERSITY,2011
BSC, UNIVERSITY OF RAJASTHAN,2002

Wireless\r\n Sensor Networks
Computer Networks

BoS\r\n Coordinator

IEEE
ACM
ISTA

Gupta, S., Richa, Kumar, R., Jain, K.L.\" Combat with Class Overlapping in Software Defect Prediction Using Neighbourhood Metric\" SN Computer Science , 2023, 4(5), 695\r\n
Saini, H.K., Jain, K \"Evolution of Mission-Oriented Unmanned Aerial Vehicle Networks: A Comprehensive Review\" ,Engineered Sciencethis link is disabled, 2023, 23, 895
Saini, H.K., Jain, K, A Novel Deep Energy Efficient Hello Packet Scheduling for Ad Hoc Networks in Unmanned Aerial Vehicles, Engineered Sciencethis link is disabled, 2023, 22, 843
\"Jain, K., Mohapatra, S., Bohra, R., Varun, V.V.S.S. ,Evaluation of Depression Detection in Sentiment Analysis Through Machine Learning Model, Lecture Notes in Networks and Systems this link is disabled, 2023, 689 LNNS, pp. 567-575Show abstract Related documents\"
Saini, H.K., Jain, K, A Novel Deep Energy Efficient Hello Packet Scheduling for Ad Hoc Networks in Unmanned Aerial Vehicles, Engineered Science this disabled, 2023, 22, 843

Dr. Ghanshyam Raghuwanshi

Associate Professor Department of Computer and Communication Engineering

ghanshyam.raghuwanshi@jaipur.manipal.edu
91 7877469057

PHD, JAYPEE UNIVERSITY OF ENGINEERING AND TECHNOLOGY, 2018
ME, RAJIV GANDHI PROUDYOGIKI VISHWAVIDYALA, BHOPAL, 2011
BE, RAJIV GANDHI PROUDYOGIKI VISHWAVIDYALA, BHOPAL, 2008

Image Processing
Object Oriented Programming

All Rounder MUJ Excellence Award 2022

Exam Coordinator

"Ghanshyam Raghuwanshi and Vipin Tyagi, "Texture image retrieval using hybrid directional Extrema pattern", Multimedia Tools and Applications, 2020."
"Ghanshyam Raghuwanshi and Vipin Tyagi, "A novel technique for content based image retrieval based on region-weight assignment", Multimedia Tools and Applications, vol. 78, pp. 1889-1911, 2019."
"Ghanshyam Raghuwanshi and Vipin Tyagi, "Texture image retrieval using adaptive tetrolet transforms", Digital Signal Processing, vol. 58, pp. 50-57, 2015."
"Ghanshyam Raghuwanshi and Vipin Tyagi, "A novel technique for location independent object based image retrieval", Multimedia Tools and Applications, 2016."
"Ghanshyam Raghuwanshi and Yogesh Gupta et al., "Image Segmentation Based on Block Level and Hybrid Directional Local Extrema", Computers, Materials & Continua, Tech Science Press"

Dr. Vaishali Yadav

Associate Professor Department of Computer and Communication Engineering

vaishali.yadav@jaipur.manipal.edu
8386069007

PHD, AMITY UNIVERSITY, 2019
MTECH, GURU JAMBHESHWAR UNIVERSITY OF SCIENCE AND TECHNOLOGY, 2010
BTECH, MAHRISHI DAYANAND UNIVERSITY ROHTAK, 2007

Metaheuristic Algorithms & Optimization

All Rounder MUJ Excellence Award 2022
Key Contributor Award 2023
Dr. Ramdas M. Pai Award for professional excellence -2023

Media Team Coordinator

IAENG
ISTE

Vaishali Yadav, "Classification of COVID-19 patients from chest CT images using multi-objective differential evolution-based Convolutional Neural Networks," European Journal of Clinical Microbiology & Infectious Diseases, vol. 39, no. 7, pp. 1379-1389, 2020. doi:10.1007/s10096-020-03901-z
Vaishali Yadav, "Deep Neural Network-based screening model for COVID-19-infected patients using chest X-ray images," International Journal of Pattern Recognition and Artificial Intelligence, vol. 35, no. 03, p. 2151004, 2020. doi:10.1142/s0218001421510046
Vaishali Yadav, "Trigonometric mutation and successful-parent-selection based adaptive asynchronous differential evolution," Journal of Ambient Intelligence and Humanized Computing, vol. 13, no. 12, pp. 5829-5846, 2021. doi:10.1007/s12652-021-03269-8
Vaishali Yadav, "Dual preferred learning embedded asynchronous differential evolution with adaptive parameters for engineering applications," Sādhanā, vol. 46, no. 3, 2021. doi:10.1007/s12046-021-01677-2
Vaishali, & T. K. Sharma, "Asynchronous differential evolution with convex mutation", In Proceedings of Fifth International Conference on Soft Computing for Problem Solving: SocProS 2015, Volume 2, pp. 915-928, 2016, Springer Singapore.

Dr. Somya Rakesh Goyal

Assistant Professor (Selection Grade) Department of Computer and Communication Engineering

somya.goyal@jaipur.manipal.edu
8168361767

MTECH, MAHRISHI DAYANAND UNIVERSITY ROHTAK ,2011
BE, MAHRISHI DAYANAND UNIVERSITY ROHTAK, 2009

Software Quality Prediction using Machine Learning

Yonug Researcher of the Year 2021
Top Researcher of the month September 2022
Dr. Ramdas M. Pai Award for professional excellence -2022-23

Departmental Research Coordinator

IEEE
ACM
IEANG
CSTA

Goyal, S. 3PcGE: 3-parent child-based genetic evolution for software defect prediction. Innovations Syst Softw Eng 19, 197-216 (2023). https://doi.org/10.1007/s11334-021-00427-1
Goyal, S. Software fault prediction using evolving populations with mathematical diversification. Soft Comput 26, 13999-14020 (2022). https://doi.org/10.1007/s00500-022-07445-6
Goyal, S. (2023). Artificial Intelligence-Based Healthcare Industry 4.0 for Disease Detection Using Machine Learning Techniques. In: Moy Chatterjee, J., Saxena, S.K. (eds) Artificial Intelligence in Medical Virology. Medical Virology: From Pathogenesis to Disease Control. Springer, Singapore. https://doi.org/10.1007/978-981-99-0369-6_10
Trivedi, R.B., Sahani, A., Goyal, S. (2023). PNA-DCN: A Deep Convolution Network to Detect the Pneumonia Disease. In: Mishra, A., Gupta, D., Chetty, G. (eds) Advances in IoT and Security with Computational Intelligence. ICAISA 2023. Lecture Notes in Networks and Systems, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-99-5085-0_11
Goyal, S., 2023. Software Measurements from Machine Learning to Deep Learning. In Computational Intelligence Applications for Software Engineering Problems (pp. 119-134). Apple Academic Press

Mr. Jitendra Singh Yadav

Assistant Professor (Selection Grade) Department of Computer and Communication Engineering

jitendrasingh.yadav@jaipur.manipal.edu
8233119149

MTECH, RAJASTHAN TECHNICAL UNIVERSITY KOTA,2014
BE, UNIVERSITY OF RAJASTHAN,2006

Blockchain

GATE 2016
UGC-NET 2015

DSW Coordinator

IEEE

Jitendra Singh Yadav, Narendra Singh Yadav & Akhilesh Kumar Sharma (2022) Security analysis of smart contract based rating and review systems: the perilous state of blockchain-based recommendation practices, Connection Science, 34:1, 1273-1298, DOI: 10.1080/09540091.2022.2066065
J. S. Yadav, N. S. Yadav and A. K. Sharma, "A Qualitative and Quantitative Parametric Estimation of the Ethereum and TRON Blockchain Networks," 2021 9th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), Noida, India, 2021, pp. 1-5, doi: 10.1109/ICRITO51393.2021.9596420.
Sharma, V. P., Yadav, J. S., & Sharma, V. (2022). Deep convolutional network based real time fatigue detection and drowsiness alertness system. International Journal of Electrical and Computer Engineering (IJECE), 12(5), 5493-5500.
Jitendra Singh Yadav, Amit Kumar Gupta & Arjit Saxena (2019) A review on gender identification using machine learning based on fingerprints, Journal of Information and Optimization Sciences, 40:5, 1121-1129, DOI: 10.1080/02522667.2019.1638002
Sharma, S., Yadav, J. S., & Sharma, P. (2012). Modified RSA public key cryptosystem using short range natural number algorithm. International Journal of Advanced Research in Computer Science and Software Engineering, 2(8), 134-138.

Mr. Vivek Sharma

Assistant Professor (Selection Grade) Department of Computer and Communication Engineering

vivek.sharma@jaipur.manipal.edu
8952013001

PHD, MANIPAL UNIVERSITY JAIPUR, PURSUING
MTECH, SURESH GYAN VIHAR UNIVERSITY, JAIPUR,2016
BE, UNIVERSITY OF RAJASTHAN,2008

Wireless Sensor Networks
Computer Netwroks

Exam Cell Member
KPI Coordinator

IEEE

Nanjangud Mohan, Sd. Abdul Kalam, R. Mahaveerakannan, Maulik Shah, Jitendra Singh Yadav, Vivek Sharma, Padmayya S Naik and Dhanaraj Bharathi Narasimha, Statistical Evaluation of Machining Parameters in Drilling of Glass Laminate Aluminum Reinforced Epoxy Composites using Machine Learning Model, Engineered Science, vol-20, 2022, DOI: https://dx.doi.org/10.30919/es8e716
Balakrishna Maddodi, Radhika P Bhandary, Vivek Sharma, Jitendra Singh Yadav, Smaranika Mohapatra, Asha Uday Rao, Prasanna M Kumar, Prakash Rao Gurpur, Shivani Chougule and Dhanaraj Bharathi Narasimha, Experimental and Statistical Evaluation of Mechanical Properties of Green Cement Concrete - Taguchi Integrated Supervised Learning Approach, Engineered Science, 2022, 18, 148-158, DOI: 10.30919/es8e689
Vijay Prakash Sharma, Jitendra Singh Yadav, Vivek Sharma, Deep convolutional network based real time fatigue detection and drowsiness alertness system, International Journal of Electrical and Computer Engineering (IJECE)Vol. 12, No. 5, October2022, pp. 5493-5500 ISSN: 2088-8708, DOI: 10.11591/ijece.v12i5
Vivek Sharma, Dr. Devershi Pallavi Bhatt, "Design and Analysis of IOT/WSN Compatible Low Power Symmetrical Cryptography Algorithm for Data Security", International Journal of Advanced Science and Technology, ISSN: 2005-4238, Vol. 27, No. 1, (pp. 120-126), (2019)
Satish Kumar Alaria, Ashish Raj, Vivek Sharma, and Vijay Kumar. 2022. "Simulation and Analysis of Hand Gesture Recognition for Indian Sign Language Using CNN". International Journal on Recent and Innovation Trends in Computing and Communication 10 (4):10-14. https://doi.org/10.17762/ijritcc.v10i4.5556.

Dr. Amit Chaurasia

Assistant Professor (Selection Grade) Department of Computer and Communication Engineering

amit.chaurasia@jaipur.manipal.edu
9045060397

PHD, JAYPEE UNIVERSITY OF INFORMATION TECHNOLOGY,2021
M.TECH., DAYALBAGH EDUCATIONAL INSTITUTE, AGRA,2012
B.TECH., DR. A.P.J. ABDUL KALAM TECHNICAL UNIVERSITY, UTTAR PRADESH (GAUTAM BUDDH TECHNICAL UNIVERSITY, LUCKNOW, UP),2010

Network-on-Chips
Blockchain

GATE-2010,2012, 2013

Nucleus Member MUJ TEC

Major Project Member

IEEE
ACM
IAENG

A. Chaurasia, V. S. Sharma, C. L. Chowdhary, S. Basheer and T. R. Gadekallu, "Non-Gaussian Traffic Modeling for Multicore Architecture Using Wavelet Based Rosenblatt Process," in IEEE Access, vol. 11, pp. 38523-38533, 2023, doi: 10.1109/ACCESS.2023.3265572.
Chaurasia, A., & Sehgal, V. K. (2019). The MPEG-4 based energy efficient application traffic modelling and synthesis for network-on-chip architecture. Sustainable Computing: Informatics and Systems, 23, 67-79.
Chaurasia, A., & Sehgal, V. K. (2015). Optimal buffer-size by synthetic self-similar traces for different traffics for noc. ACM SIGBED Review, 12(3), 6-12.
Chaurasia, A., & Sehgal, V. K. (2017). Performance of gaussian and non-gaussian synthetic traffic on networks-on-chip. International Journal of Multimedia Data Engineering and Management (IJMDEM), 8(2), 33-42.
Chaurasia, A., Agarwal, H., Vishwakarma, A., Dwivedi, A., & Sharma, A. (2021). Signature Forgery Recognition Using CNN. In Inventive Communication and Computational Technologies: Proceedings of ICICCT 2020 (pp. 131-141). Springer Singapore.

Dr. Lal Pratap Verma

Associate Professor Department of Computer and Communication Engineering

lalpratap.verma@jaipur.manipal.edu

PHD, JAYPEE UNIVERSITY OF ENGINEERING AND TECHNOLOGY,2018
M.TECH., YMCA UNIVERSITY OF SCIENCE AND TECHNOLOGY, FARIDABAD, 2013
B.TECH., DR. RAM MANOHAR LOHIA NATIONAL LAW UNIVERSITY, LUCKNOW,2007

Network Communication

GATE-2009

OBE Coordinator
Exam Cell Member

IEEE
ACM
ISC

L.P. Verma, V.K. Sharma, M. Kumar, D. Kanellopoulos, A. Mahanti, "DB-CMT: A New Concurrent Multi-path Stream Control Transport Protocol", Journal of Network and System Management, 30, 67 (2022). https://doi.org/10.1007/s10922-022-09677-1 (SCI)
P. Tomar, G. Kumar, L.P. Verma, V.K. Sharma, D. Kanellopoulos, S.S. Rawat, Y. Alotaibi, CMT-SCTP and MPTCP Multipath Transport Protocols: A Comprehensive Review", Electronics, Vol. 11(15), pp.2384, 2022, https://doi.org/10.3390/electronics11152384 (SCI)
P. Tomar, G. Kumar, L. P. Verma, "Path-Rank-Based Data Chunk Scheduling for Concurrent Multipath Transmission", The Computer Journal, 2022. https://doi.org/10.1093/comjnl/bxac074 (SCI)
L.P. Verma, V. K. Sharma, M. Kumar, D. Kanellopoulos, "A novel Delay-based Adaptive Congestion Control TCP variant", Computers and Electrical Engineering, Vol. 101, 108076, 2022. https://doi.org/10.1016/j.compeleceng.2022.108076 (SCI)
L.P. Verma, V.K. Sharma, M. Kumar, A. Mahanti, "An adaptive multi-path data transfer approach for MP-TCP", Wireless Network (2022). https://doi.org/10.1007/s11276-022-02958-2 (SCI)

Dr. Vijay Shankar Sharma

Assistant Professor (Senior Scale) Department of Computer and Communication Engineering

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. Arpit Kumar Sharma

Assistant Professor Department of Computer and Communication Engineering

arpit.sharma@jaipur.manipal.edu
9462410708

PHD, MANIPAL UNIVERSITY JAIPUR, PURSUING
M.TECH., MAHARSHI DAYANAND SARASWATI UNIVERSITY, AJMER, 2018
B.TECH., RAJASTHAN TECHNICAL UNIVERSITY, KOTA,2014

Medical Image Processing
Machine Learning

Internship Coordinator

A. K. Sharma, A. Nandal, A. Dhaka and Rahul Dixit, "A survey on machine learning based brain retrieval algorithms in medical image analysis," Health and Technology, vol. 10, pp. 1359-1373, August 6, 2020
A.K. Sharma et al., "HOG transformation based feature extraction framework in modified Resnet50 model for brain tumor detection," Biomedical Signal Processing and Control, vol 84, 2023.
A. K. Dubey, A. Kumar, V. García-Díaz, A. K. Sharma and K. Kanhaiya, "Study and analysis of SARIMA and LSTM in forecasting time series data," Sustainable Energy Technologies and Assessments, vol. 47, 2021.
Sharma, A.K.; Nandal, A.; Dhaka, A.; Koundal, D.; Bogatinoska, D.C.; Alyami, H. Enhanced Watershed Segmentation Algorithm-Based Modified ResNet50 Model for Brain Tumor Detection. BioMed Res. Int. 2022.
V., S. Sancheti, A. Dhaka, A. Nandal, H. G. Rosales, D. Koundal, F. E. L. Monteagudo, C. E. G. Tajada, A. K. Sharma. " Lambertian Luminous Intensity Radiation Pattern Analysis in OLOS Indoor Propagation for Better Connectivity" Wireless Communications and Mobile Computing, 2022.

Ms. Anshika Malsaria

Assistant Professor (Senior Scale) Department of Computer and Communication Engineering

anshika.malsaria@jaipur.manipal.edu
9828128665

PHD, MANIPAL UNIVERSITY JAIPUR, PURSUING
M.TECH., RAJASTHAN TECHNICAL UNIVERSITY KOTA, 2015
B.E., UNIVERSITY OF RAJASTHAN ,2008

Network Communication
Network Security

IEEE
ACM

A. Malsaria, P. Vyas, Study of Various Attacks Over Images Transferred Optically Through Communication Channel, International Conference on Cyber Warfare, Security and Space Research, Springer, 2021, pp. 248-262.
A. Malsaria, P. Vyas, and M. Kaur, "Design and implementation of optical image communication encoding grounded on optical Fourier transform," Journal of Optical Communications, no. 0, 2023.
A. Malsaria, P. Vyas, and M. Kaur, "Design and implementation of optical image communication encoding grounded on optical Fourier transform," Journal of Optical Communications, no. 0, 2023.
A. Malsaria and P. Vyas, "Study of Various Attacks Over Images Transferred Optically Through Communication Channel," in International Conference on Cyber Warfare, Security and Space Research, 2021: Springer, pp. 248-262.
DOI: 10.1007/s12596-021-00697-9

Dr. Sandeep Kumar Sharma

Assistant Professor (Selection Grade) Department of Computer and Communication Engineering

sandeep.sharma@jaipur.manipal.edu

PHD, RAJASTHAN TECHNICAL UNIVERSITY, KOTA, 2021
M.TECH., RAJASTHAN TECHNICAL UNIVERSITY KOTA,2013
B.SC., UNIVERSITY OF RAJASTHAN,2002

Image processing
Cryptography

Gate (2008)

RedHat MoU Coordinator
Panacea Club Coordinator
PAC Member
News Letter Co-Coordinator

IEEE

Sharma, Sandeep & Kumar, Anil & Ashtagi, Rashmi & Jain, Rekha. (2023). OCA: An intelligent model for improving security breach of biometric based authentication systems. Journal of Discrete Mathematical Sciences and Cryptography. 26. 1415-1425. 10.47974/JDMSC-1765.
Anil Kumar & Sandeep Kumar Sharma (2022) Information cryptography using cellular automata and digital image processing, Journal of Discrete Mathematical Sciences and Cryptography, 25:4, 1105-1111, DOI: 10.1080/09720529.2022.2072437
Sandeep Kumar Sharma, CS Lamba, VS Rathore, " Grid level doorstep assessments for image appliance", International Journal of Scientific and Technology Research, vol-9, iss-2, pp-4595-4600, 2000
Sharma, S.K., Lamba, C.S., Rathore, V.S. (2019). Incessant Ridge Estimation Using RBCA Model, https://doi.org/10.1007/978-981-13-2285-3_25
Sharma, S.K., Lamba, C.S., Rathore, V.S. (2018). OTCA Approach Towards Blurred Image Feature Estimation and Enrichment.https://doi.org/10.1007/978-981-10-5508-9_32

Dr. Anubhav Shivhare

Assistant Professor Department of Computer and Communication Engineering

anubhav.shivhare@jaipur.manipal.edu
8840809743

PHD, INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, ALLAHABAD, PURSUING
M.TECH., INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, ALLAHABAD,2017
B.TECH., MAULANA AZAD NAITONAL INSTITUTE OF TECHNOLOGY.2013

IoT
Data Management in WSN
Information Security

Co-Coordinator for Registration and MUJSLCM portal related activities
Ecell member

Kumar, M., Singh, T., Maurya, M. K., Shivhare, A., Raut, A., & Singh, P. K. (2023). Quality Assessment and Monitoring of River Water Using IoT Infrastructure. IEEE Internet of Things Journal.
Kumar, M., Singh, P. K., Maurya, M. K., & Shivhare, A. (2023). A survey on event detection approaches for sensor based IoT. Internet of Things, 100720.
Raut, A., Shivhare, A., Chaurasiya, V. K., & Kumar, M. (2023). AEDS-IoT: Adaptive clustering-based Event Detection Scheme for IoT data streams. Internet of Things, 22, 100704.
Shivhare, A., Singh, V. K., & Kumar, M. (2020). Anticomplementary triangles for efficient coverage in sensor network-based IoT. IEEE Systems Journal, 14(4), 4854-4863.
Shivhare, A., Maurya, M. K., Sarif, J., & Kumar, M. (2022). A secret sharing-based scheme for secure and energy efficient data transfer in sensor-based IoT. The Journal of Supercomputing, 78(15), 17132-17149.

Mr. Pramod Singh Rathore

Assistant Professor (Senior Scale) Department of Computer and Communication Engineering

pramod.rathore@jaipur.manipal.edu
9982377970

Networking
Image Processing
Machine Learning

Panacea Club Member

S. Kumari, A. Misra, A. Wahi and P. S. Rathore, "Quality of Red Wine: Analysis and Comparative Study of Machine Learning Models," 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), Coimbatore, India, 2023, pp. 769-772, doi: 10.1109/ICIRCA57980.2023.10220857.
Bhargava, N., Rathore, P.S., Bhowmick, A. (2023). A Methodology for the Energy Aware Clustering and Aggregate Node Rotation with Sink Relocation in MANET. In: Rathore, V.S., Piuri, V., Babo, R., Ferreira, M.C. (eds) Emerging Trends in Expert Applications and Security. ICETEAS 2023. Lecture Notes in Networks and Systems, vol 682. Springer, Singapore. https://doi.org/10.1007/978-981-99-1946-8_13
P. N. Bhargava, P. S. Rathore, D. Saxena and A. Goswami, "Improving Facial Recognition Accuracy Using Local Binary Patterns," 2023 3rd Asian Conference on Innovation in Technology (ASIANCON), Ravet IN, India, 2023, pp. 1-5, doi: 10.1109/ASIANCON58793.2023.10269842.
N. Bhargava, P. S. Rathore, M. Jha and A. Goswami, "Adaptive Clustering Algorithm for Big Health Data Classification," 2023 3rd Asian Conference on Innovation in Technology (ASIANCON), Ravet IN, India, 2023, pp. 1-4, doi: 10.1109/ASIANCON58793.2023.10270544.
K. Kanhaiya, Naveen, A. K. Sharma, K. Gautam and P. S. Rathore, "AI Enabled- Information Retrival Engine (AI-IRE) in Legal Services: An Expert-Annotated NLP for Legal Judgements," 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), Trichy, India, 2023, pp. 206-210, doi: 10.1109/ICAISS58487.2023.10250733.

Mr. Siddhanta Kumar Singh

Assistant Professor (Selection Grade) Department of Computer and Communication Engineering

siddhanta.singh@jaipur.manipal.edu
9413144882

PHD, MODY UNIVERSITY, PURSUING
M.TECH., JAGANNATH UNIVERSITY, 2015
B.E., DIBRUGARH UNIVERSITY, 1993

OBD II and ML

SCJP, MCPD and MCTS certified

Siddhanta Kumar Singh, Vinod Maan and Ajay Kumar Singh, "OBD II based performance analysis based on the fuel usage of vehicles", International Conference on Emerging Trends in Expert Applications & Security (ICE-TEAS 2023, Springer). Vol 682, pp 159-168, June 2023
Siddhanta Kumar Singh and Ajay Kumar Singh, "Driving pattern analysis to determine driver behaviors for a local authority based on the cloud using OBD II", International Journal of Electrical and Computer Engineering Systems, Vol. 3, No. 10 , pp. 839-846, December 2022.
Siddhanta Kumar Singh and Ajay Kumar Singh, "Vehicular impact analysis of driving for accidents using on-board diagnostic II", Bulletin of Electrical Engineering and Informatics , Vol. 11, No. 5, pp. 2696-2704, October 2022.
Siddhanta Kumar Singh, Ajay Kumar Singh, and Anand Sharma, "Driving analysis for load and fuel consumption using OBD II diagnostics", International Conference on Advances in Information Communication Technology & Computing" (AICTC - 2021) Springer Nature), Vol.392, pp 121-131, May 2022
Siddhanta Kumar Singh, Ajay Kumar Singh, and Anand Sharma, "OBD - II based Intelligent Vehicular Diagnostic System using IoT", International Semantic Intelligence Conference 2021 CEUR-workshop proceedings, Vol. 2786, pp. 511-515, February 2021

Mr. Saumitra Gangwar

Assistant Professor Department of Computer and Communication Engineering

saumitra.gangwar@jaipur.manipal.edu
7007467659, 9634206563

PHD, NIT, MEGHALAYA, SUBMITTED
M.TECH., NIT, MEGHALAYA ,2017
B.TECH., ROHILKHAND UNIVERSITY, BAREILLY, 2013

WSN
IoT
Optimization Techniques
Soft Computing

GATE 2015, 2016
CEH v7 certification

TnP Member at MUJ

Saumitra Gangwar, Yogita, I.B. Prasad, S.S. Yadav, V. Pal, & N. Kumar, "GTFR: A Game Theory Based Fuzzy Routing Protocol for WSNs," IEEE Sensors Journal, 1-1., 2023. doi:10.1109/JSEN.2023.3248226
Saumitra Gangwar, I.B. Prasad, Yogita, S.S. Yadav, V. Pal, & S.K. Patra, "HSCR: Hierarchical structured cluster routing protocol for load balanced wireless sensor networks," Software: Practice and Experience, 2023.doi:https://doi.org/10.1002/spe.3095. eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/spe.3095
I. B. Prasad, Saumitra Gangwar, Yogita, S.S. Yadav, & V. Pal, "HCM: Hierarchical Clustering MOORA-basedClustering Mechanism for WSNs," Journal of Microsystem Technologies, pp 1-17, 2023. doi:10.1007/s00542-023-05508-8

Ms. Hema Shekhawat

Assistant Professor Department of Computer and Communication Engineering

hema.shekhawat@jaipur.manipal.edu

PHD, RAJIV GANDHI INSTITUTE OF PETROLEUM TECHNOLOGY, JAIS, PURSUING
M.TECH., CENTRAL UNIVERSITY OF RAJASTHAN ,2017
B.TECH., RAJASTHAN TECHNICAL UNIVERSITY, KOTA, 2014

Information security
Cryptography
Post-quantum cryptography
Big Data analytics
Smart Grid Networks

GATE 2015
APNIC 42 fellowship (2016)
UGC-NET 2020

Shekhawat, H., Gupta, D.S. (2023). Quantum-Defended Lattice-Based Anonymous Mutual Authentication and Key-Exchange Scheme for the Smart-Grid System. In: Abraham, A., Hong, TP., Kotecha, K., Ma, K., Manghirmalani Mishra, P., Gandhi, N. (eds) Hybrid Intelligent Systems. HIS 2022. Lecture Notes in Networks and Systems, vol 647. Springer, Cham. https://doi.org/10.1007/978-3-031-27409-1_104
H. Shekhawat and P. Verma, "A real-time model for COVID19 face-mask identification with "YOLOv4"," 2022 IEEE World Conference on Applied Intelligence and Computing (AIC), Sonbhadra, India, 2022, pp. 195-200, doi: 10.1109/AIC55036.2022.9848864.
H. Shekhawat, S. Sharma and R. Koli, "Privacy-Preserving Techniques for Big Data Analysis in Cloud," 2019 Second International Conference on Advanced Computational and Communication Paradigms (ICACCP), Gangtok, India, 2019, pp. 1-6, doi: 10.1109/ICACCP.2019.8882922.
Hema Shekhawat, Samiksha Sharma, Tajinder singh, "A critical survey on prediction methodologies in Data mining using HMM & LSTM", JASC: Journal of Applied Science and Computations, pp 1016-1022, volume 5, issue 9, 2018
Hema Shekhawat, Samiksha Sharma, Anchal Pokharana, "An approach to secure data stored in HDFS", JASC: Journal of Applied Science and Computations, pp. 780-785, Volume 5, Issue 8, August /2018

Mr. Sadineni Lakshminarayana

Assistant Professor Department of Computer and Communication Engineering

lakshminarayana.sadineni@jaipur.manipal.edu

M.SC., INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY (DEEMED UNIVERSITY) ,2016
B.TECH., ANDHRA UNIVERSITY, 2014

Internet of Things
IoT Malware Analysis
Android Malware
Darknet and Dark Web

GATE
UGC-NET
AP-SET

Student Mentoring

IEEE
ACM

L. Sadineni, E. S. Pilli, and R. B. Battula, "ProvLink-IoT: A novel provenance model for Link-Layer Forensics in IoT networks," Forensic Sci. Int. Digit. Investig., vol. 46, p. 301600, 2023.
L. Sadineni, E. S. Pilli, and R. B. Battula, "ProvNet-IoT: Provenance based network layer forensics in Internet of Things," Forensic Sci. Int. Digit. Investig., vol. 43, p. 301441, Sep. 2022.
L. Sadineni, E. S. Pilli, and R. B. Battula, "Ready-IoT: A Novel Forensic Readiness Model for Internet of Things," 7th IEEE World Forum Internet Things, WF-IoT 2021, pp. 89-94, 2021.
L. Sadineni, E. Pilli, and R. B. Battula, "A Holistic Forensic Model for the Internet of Things," in Advances in Digital Forensics XV, G. Peterson and S. Shenoi, Eds., in IFIP Advances in Information and Communication Technology, vol. 569. Cham: Springer International Publishing, 2019.
V. Odelu, S. Saha, R. Prasath, L. Sadineni, M. Conti, and M. Jo, "Efficient privacy preserving device authentication in WBANs for industrial e-health applications," Comput. Secur., vol. 83, pp. 300-312, 2019.

Mr. Abhishek Narwaria

Assistant Professor Department of Computer and Communication Engineering

abhishek.narwaria@jaipur.manipal.edu

PHD. MNIT JAIPUR. SUBMITTED.
M.TECH. .ATAL BIHARI VAJPAYEE INDIAN INSTITUTE OF INFORMATION TECHNOLOGY & MANAGEMENT, GWALIOR .2018
B.E., RAJIV GANDHI PROUDYOGIKI VISHWAVIDYALA, BHOPAL ,2015

IoT
SDWSN
WSN
Optimization Techniques
Controller Placement
Routing

Presented paper in IEEE I2CT Conference 2023
Qualified Institutional PhD exam and interview in 2018
Qualified GATE in 2017, 2016, and 2015

A. Narwaria, and A. P. Mazumdar, "Software-Defined Wireless Sensor Network: A Comprehensive Survey," Journal of Network and Computer Applications, 215, p. 103636, 2023, doi: https://doi.org/10.1016/j.jnca.2023.103636
A. Narwaria, A. P. Mazumdar, and G. Kalla, "C3HAC: A Controller Placement Approach for SDWSN," in TENCON 2021-2021 IEEE Region 10 Conference (TENCON), pp. 935-940, IEEE, 2021, doi: 10.1109/TENCON54134.2021.9707415
A. Narwaria, A. P. Mazumdar, and S. Sharma, "Energy Efficient Multi-Objective Task Allocation in Software-Defined Wireless Sensor Network," in 2023 IEEE 8th International Conference for Convergence in Technology (I2CT), pp. 1-6, IEEE, 2023, doi: 10.1109/I2CT57861.2023.10126235
A. Narwaria, and A. P. Mazumdar, "Overlapping FSS-Based Energy-Efficient Routing in Wireless Sensor Networks," in 2023 5th International Conference on Energy, Power and Environment: Towards Flexible Green Energy Technologies (ICEPE), pp. 1-6, IEEE, 2023, doi: 10.1109/ICEPE57949.2023.10201603
G. Kalla, A. P. Mazumdar, D. K. Tyagi, and A. Narwaria, "Distance-aware Hierarchical Data-collecting Path Selection for Mobile Sink in Sparse WSNs," in 2022 IEEE World Forum on Internet of Things (WF-IoT), pp. 1-6, IEEE, 2022, doi: 10.1109/WF-IoT54382.2022.10152025

Dr. Shalini Pathak

Assistant Professor (Senior Scale) Department of Computer and Communication Engineering

shalini.pathak@jaipur.manipal.edu
8210765054

PHD, JAYOTI VIDYAPEETH WOMEN'S UNIVERSITY, 2023
M.TECH., RAJASTHAN TECHNICAL UNIVERSITY, KOTA, 2015
B.TECH., RAJASTHAN TECHNICAL UNIVERSITY, KOTA, 2013

Data Structure and Algorithm
Operating System
Information Security System

Shalini and Dr. Kavita ," ADJUSTED CROSSOVER MODEL TO EXPAND CLINICAL DECISIONS ACCURACY FOR DIAGNOSIS OF CHRONIC DISEASES"Scopus Indexed Eur. Chem. Bull,12(B)918-927,2023,https://www.eurchembull.com/issue-content/adjusted-crossover-model-to-expand-clinical-decisionsaccuracy-for-diagnosisof-chronic-diseases-3616
Shalini, Kavita "Analyzing Forecasting Act Of Data Mining Procedures Over Multi Disease Data" Sodh Prabha(UGC CARE JOURNAL),ISSN: 09748946, Vol. 47, Issue-4 ,2022
K. Kanhaiya, A. K. Sharma, K. Gautam, A. Jain, Surendra Sharma, S B Goyal and Shalini, "Analysis of COVID-19 Outbreak using Data Visualization Techniques: A Review," in Applications of Artificial Intelligence in E-Health care Systems,2022, Eds. The Institution of Engineering and Technology (IET), June 2022. https://digital-library.theiet.org/content/books/10.1049/pbhe040e_ch11
Omprakash Jaiswal , Pawan kumar Saini , Shalini , Yatendra Mohan Sharma," Analyze Classification Act of Data Mining Schemes",Proceedings Second International Conference on Information Management and Machine Intelligence,volume -166,p 501-508,2020.
Shalini,Amit Kumar Gupta"A novel hybrid scheme to magnify performance of CPU scheduling"Proceedings of the 2nd International Conference on Communication and Electronics Systems (ICCES 2017) IEEE Xplore Compliant - Part Number:CFP17AWO-ART, ISBN:978-1-5090-5013-0

Dr. Amit Kumar Sharma

Assistant Professor (Selection Grade) Department of Computer and Communication Engineering

amit.sharma@jaipur.manipal.edu
9928286683