Best University in Ahmedabad, Gujarat, India – Indrashil University
Source: https://www.indrashiluniversity.edu.in/Post-Graduate-Diploma-in-Cyber-Security-and-Digital-Forensic
Archived: 2026-04-23 17:39
Best University in Ahmedabad, Gujarat, India – Indrashil University
POST GRADUATE DIPLOMA IN CYBER SECURITY AND DIGITAL FORENSIC in Collaboration with EC-COUNCIL
ABOUT THE DEPARTMENT:
The department of Computer Sciences and Engineering offers B. Tech. program in Computer Sciences and Engineering with minor specialization in subjects like Wireless Networks, Mobile Computing, 5G and Internet of Things, Big Data Analytics, Security in Wireless Networks, Cyber Security and Computer Vision.
The department always sets a high growth path inviting inputs from industry experts and eminent academicians to make the courses contemporary. It has experienced and dedicated faculty, with a strong commitment to engineering education and who work with zeal and enthusiasm providing a vibrant and optimum learning environment for the students in order to help them excel in today’s competitive environment.
It consists of highly qualified faculty having experience in research and industry. Their expertise covers various domains of Computer Engineering, Data Sciences, Computer Networks and Machine Learning.
OBJECTIVES:
Equip students with advanced knowledge and skills in cybersecurity to effectively protect and secure digital assets.
Develop expertise in digital forensic techniques, enabling graduates to investigate and analyze cyber incidents and crimes.
Foster a comprehensive understanding of the legal and ethical aspects of cybersecurity, ensuring graduates can operate within legal frameworks and ethical standards.
Provide hands-on experience in utilizing cutting-edge tools and technologies for detecting, preventing, and responding to cyber threats.
Cultivate critical thinking and problem-solving abilities in the context of cybersecurity challenges, enabling graduates to address complex issues in the field.
Prepare professionals for leadership roles in the cybersecurity domain by instilling a deep understanding of risk management, policy development, and strategic planning.
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Why PGDCSDF at Indrashil University?
Post Graduate Diploma in Cyber Security and Digital Forensic is a one-year program offered by Indrashil University in association with EC-Council.
The online based offered program designed by Indrashil University gives you a full package of four courses included that help you not only grow your career in Cyber Security and Digital Forensic but also provide knowledge that most of the experts and professionals have after experiencing the field.
This provides globally recognized EC-Council programs with highly dynamic cyber range and iLabs.
The four courses provided are global certifications like CND, CEH, ECIH and CHFI from EC-Council, USA
What is EC-Council?
EC-Council (International Council of E-Commerce Consultants) is the world's largest certification body for Information Security professionals.
It is the owner and creator of the world famous Certified Ethical Hacker (CEH), Computer Hacking Forensics Investigator (CHFI) and License Penetration Tester (LPT) programs, and as well as many others programs offered in 145 countries.
TEC-Councils globally recognized Certified Ethical Hacker course provides a real world experience and hands on training about understanding of cyber and network threats, determining hacker motives, fixing system and application vulnerabilities, vulnerability assessments, intrusion detection and deflects attacks.
Learn More...
Salient features:
Comprehensive Curriculum designed by industry experts and academicians to strike balance between theory and practical curriculum covering network security, cryptography, incident response, and more
Hands-on learning through lab exercises and real-world case studies
Industry-relevant skills development for job readiness
Expert faculty with real-world experience in cyber security
Networking opportunities with industry professionals and alumni
Preparation for industry certifications like CompTIA Security+ and CEH
Students will also be awarded with PGDCSDF certificate by Indrashil University
Culminating capstone project to showcase skills
Flexible study options: full-time, part-time, online, and on-campus
Dedicated career support services including resume building and job placement assistance
Ongoing professional development to stay updated with industry trends and technologies.
Program Structure
Program Outline:
Total Credits: 24
Trimester system
9 compulsory modules (16 credits)
Last Trimester Project (8 credits)
Eligibility Criteria:
Engineering (BE/BTECH/ME/MTECH in IT/CE/CSE/ICT/EC/EE)
Computer Application (BCA/MCA)
Computer Science (BSc IT/ MSc IT)
Management (BBA IT/MBA IT)
Career
Diverse opportunities for graduates to contribute to safeguarding digital assets and combating cyber threats across various industries. Some of the roles are:
Cyber Security Analyst
Digital Forensics Investigator
Incident Responder
Security Consultant
Penetration Tester/Ethical Hacker
Security Architect
Threat Intelligence Analyst
Cyber Security Manager/Director
Cyber Security Trainer/Educator
Selection Criteria:
Selection of the student will be based on
Work experience
Performance in personal interview including group discussion
Batch size- 30 students per year
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Our Mentors
Keshav Kumar, IPS ( Retd )
Consultant Home Dept. Govt of Assam, Advisory
Consulting, for Governments & Corporates, Forensic Sciences application
Expert in Anti-Corruption, Anti -Bribery, Corporate Governance, Wildlife Crime Investigation
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Dr. Vinay Kumar Srivastava
Centre Head, CBMIS, SISPA
D. Phill., MSc., BSc.
35 years and 5 months including deputation tenure as “security Officers” in MHA.
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Ms. Neha Singh
Name:
Ms. Neha Singh
Designation:
Assistant Professor
Department:
Computer Science & Engineering
Areas of Specialization:
Machine Learning, Artificial Intelligence,
Network Security
Email:
neha.singh@indrashiluniversity.edu.in
PROFILE
Ms. Neha Singh is having 11 years of teaching experience within India as well as abroad (China).
She is Pursuing PhD from Uttarakhand Technical University (State University), Dehradun. She
obtained her M.Tech. (Computer Science & Engineering) from Shobhit University and B.Tech.
(Computer Science & Engineering) with Hons. from Government college, SCRIET, Meerut. She has
Supervised many Master students in their research. She has published many national and
international research paper and attended various conferences. Her area of research includes
Wireless Sensor Network (WSN), Network Security, Artificial Intelligence and Machine Learning.
RESEARCH
Area of Research
Wireless Sensor Network, Mobile Adhoc Network, Artificial Intelligence & Machine Learning
Mobile Adhoc Network, Security in wireless sensor network, Advanced Security Scheme to
defend against DDOS Attacks in MANET:
An algorithm was created for defending sensor networks specifically for DDoS attacks. Our
proposed Defenses mechanism uses a Machine learning algorithm to detect the attackers.
PUBLICATIONS
Selected Publications
Plants Diseases Prediction Framework: A Image-Based System Using Deep Learning, 2022 IEEE
World Conference on Applied Intelligence and Computing, AIC 2022, 2022, pp. 307–313
Comparative analysis of various techniques of DDoS attacks for detection & prevention and
their impact in MANET, 2020, Springer, Singapore, Performance Management of Integrated
Systems and its Applications in Software Engineering.
An Efficient QoS Routing Scheme in Mobile Adhoc Networks Using Ant Colony Optimization,
Elsevier, SSRN 2019.
Comparative Analysis for E-Services Based on Chi-Square Test, Elsevier, SSRN 2019.
Energy Efficient Techniques for Data aggregation and collection in WSN, IJCSEA, 2012.
Google Scholar:
https://scholar.google.com/citations?user=ZjHRApoAAAAJ&hl=en
Scopus:
https://www.scopus.com/authid/detail.uri?authorId=57225152986
ORCID:
https://orcid.org/my-orcid?orcid=0000-0002-2140-8182
TEACHING
Artificial Intelligence
Machine learning
Soft Computing
Database Management System
Computer Networks
Operating System
Software Engineering
Software Testing & Quality Assurance
Software Analysis & Design
Data Mining & Warehouse
Information Technology & its Management
Cryptography & Network Security
Yogeshkumar Kushwah
Name:
Yogeshkumar Kushwah
Designation:
Assistant Professor
Department:
Computer Science and Engineering
Areas of Specialization:
Software Engineering, Cloud
Computing, Machine Learning
Email:
yogesh.kushwah@indrashiluniversity.edu.in
PROFILE
Mr. Yogesh Kumar Kushwah is an Assistant Professor School of
Engineering at Indrashil University, Rajpur, Mehsana, Gujarat,
India. He is recipient of over 6 research papers in UGC CARE,
International and DPA journals and conferences and published paper
with over 47 citations & 1 h index & 1 i-10 index. He is interested
to research in computer science field.
Mr. YK Kushwah is having more than 6 years of teaching experience
within India. He obtained his M.Tech (Computer Science &
Engineering) from Monad University, Hapur, UP and another M.Tech
(Environmental Engineering) with Honours From(ECK Government college
RTU, Kota. He has been completed B.Tech in Information Technology
from Rajasthan Technical University with Honours. He has supervised
many Engineering students in their project work. He has published
many national and international research papers and attended various
conferences. His area of research includes COT and IOT, Artificial
Intelligence and Machine Learning, Software Engineering.
He also contributed work of Senior Supervisor in Mumbai University
Exam at Ideal Institute of Technology, Wada, and MAHARASHTRA. He
also worked there as an Assistant Professor.
He Worked before Madhav University, Abu Road, Rajasthan, IIT Wada,
Maharashtra and Swarrnim Startup and Innovation University, Gujarat.
Currently working Indrashil University, Rajpur, Gujarat.
RESEARCH
Area of Research
Machine Learning, Cloud Computing, Cryptography and Network
Security, COT and IOT.
PUBLICATIONS
Selected Publications
AN EMERGING APPROACH OF BLOCK CHAIN TECHNOLOGY, COT AND IOT
APPLICATIONS AND CHALLENGES SK Pandey, R Pandey, YK Kushwah, S
Rasheed Journal of Data Acquisition and Processing 38 (3), 838.
“DEVELOPMENT OF AN INTELLIGENT TRANSISTOR SYSTEM FOR SMART CITIES
TO PROVIDE COMMERCIAL PARKING SPACES USING ARTIFICIAL INTELLIGENCE
AND MACHINE LEARNING TECHNIQUES” Yogesh kumar Kushwah IN Patent
THE PATENT ACT, 1970 (39 of 1970).
Environmental degradation: causes, impacts and mitigation, , YK
Kushwah, MP Choudhary, GS Chauhan in National seminar on recent
advancements in protection of environment.
Heavy Metal Concentrations in Topsoil along National Highway-12,
Kota-Deoli (Tonk) MP Choudhary, YK Kushwah ,IJIRS , Engineering
and Technology.
“DEVELOPMENT OF AN INTELLIGENT TRANSISTOR SYSTEM FOR SMART CITIES
TO PROVIDE COMMERCIAL PARKING SPACES USING ARTIFICIAL INTELLIGENCE
AND MACHINE LEARNING TECHNIQUES” YK Kushwah IPR Application
No.202211074981 A, 21.
Appraisal of Rajasthan Ambient Air Quality During Covid 19
Pandemic Lockdown, yogesh kushwaha , GS Chauhan in Journal of
Xidian University 14 (8), 5797-5807.
Heavy Metal Contamination of Topsoil along National Highways: A
Caste Study of NH-12, Kota, Deoli Rajasthan, India yogesh kumar
Kushwah December 19, 2016 by LAP LAMBERT Academic Publishing .
Google Scholar:
https://scholar.google.com/citations?user=0XkVDeUAAAAJ&hl=en
TEACHING
Data Structure using 0043
Software Engineering
Machine Learning
Computer Networks
Computer Organization and Architecture
Computer Graphics
System Analysis and Design
Web Designing
Human Computer Interaction
Information Network & Cyber Security
Cloud Computing
Mobile computing
E-Commerce
Dr. Sidheswar Routray
Name:
Dr. Sidheswar Routray
Designation:
Associate Professor & Dean, SOE
Department:
Computer Science & Engineering
Areas of Specialization:
Image Processing, Natural Language Processing, Artificial Intelligence, Machine Learning, IoT
Email:
sidheswar.routray@indrashiluniversity.edu.in
PROFILE
Sidheswar Routray received the B.Tech and M.Tech degrees from Biju Patnaik University of Technology, Rourkela, India. He received his Ph.D. degree from KIIT University (Institute of Eminence), Bhubaneswar, India. He was a Post-doctoral Research Fellow with the School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China. He is currently working as an Associate Professor, Department of Computer Science and Engineering & Dean-School of Engineering at Indrashil University, Rajpur, Mehsana, Gujarat, India. He has 13 years of teaching and research experience in top-ranked educational institutions. He has worked as a remote researcher at Zhejiang Lab, Zhejiang University, China. He has published over 44 research papers in SCI and Scopus indexed journals and conferences. He has published two German patents to his credit. He is an active member of technical program committees of leading International conferences such as CCGRID 2023, SPIN-2023, ICIICC-2022. He has also served as a reviewer for various top-ranked journals such as IEEE IoT, IEEE Transaction on Industrial Technology, IEEE Access, IEEE Transaction on Consumer Electronics, Signal Image and Video Processing, Optik, Sustainability, Sensors, Electronics. He is currently serving as Lead guest editor for the IEEE Journal of Biomedical and Health Informatics. His research interests include Image Processing, Natural Language Processing, Artificial Intelligence, Machine Learning, and IoT.
RESEARCH
Image Processing
Design of Image Denoising Algorithms Using Sparsifying Transforms to Preserve Geometric Components
Speech Processing
Development of single-channel speech enhancement algorithms using deep learning-based frameworks for automatic speech recognition application
Internet of Medical Things
Internet of things (IoT) based Smart Healthcare System for Efficient Diagnostics of Health Parameters of Patients in Emergency Care
Project Grant
“Research on Efficient Speech Enhancement Techniques Using Learning Based Approach” funded by Jiangsu Planned Projects for Postdoctoral Research Funds, Jiangsu Province, P.R. China, Grant No: 2019K222.
He is recipient of over 44 research papers in SCI and Scopus indexed journals and conferences and published two German patents with over 457 citations & 13 H index.
PUBLICATIONS
Selected Publications
S. Routray
and Q. Mao, A Context Aware Based Deep Neural Network Approach for Simultaneous Speech Denoising and Dereverberation, Neural Computing and Applications,
Springer
, Volume 34, No. 12, pp. 9831-9845, 2022, https://doi.org/10.1007/s00521-022-06968-1.
(SCI & Scopus) IF-5.102
S. Routray
and Q. Mao, Phase sensitive masking-based single channel speech enhancement using conditional generative adversarial network, Computer Speech & Language,
Elsevier
, Volume 71, 2022, 101270, https://doi.org/10.1016/j.csl.2021.101270.
(SCI & Scopus) IF-3.252
S. Routray
, A. K. Ray and C. Mishra, “An efficient image denoising method based on principal component analysis with learned patch groups,” Signal, Image and Video Processing,
Springer
, Volume 13, No. 7, pp. 1405–1412. 2019. DOI: 10.1007/s11760-019-01489-2.
(SCI & Scopus) IF-2.157
S. Routray
, A. K. Ray and C. Mishra, “Image Denoising by Preserving Geometric Components Based on Weighted Bilateral Filter and Curvelet Transform,” Optik,
Elsevier
, Volume 159, pp. 333-343, 2018. DOI: 10.1016/j.ijleo.2018.01.096.
(SCI & Scopus) IF-2.840
A. Balasundaram,
S. Routray
*, A. V. Prabu, P. Krishnan, P. P. Malla, & M. Maiti, “Internet of things (IoT) based Smart Healthcare System for Efficient Diagnostics of Health Parameters of Patients in Emergency Care”,
IEEE
Internet of Things Journal, 2023
(SCI & Scopus) IF-9.473.
Google Scholar:
https://scholar.google.co.in/citations?user=oNofNrQAAAAJ&hl=en
Scopus:
https://www.scopus.com/authid/detail.uri?authorId=57190341660
ORCID:
https://orcid.org/0000-0002-3658-3514
TEACHING
Data Science
Data Analytics using R
Deep Learning
Data Analysis & Interpretation
Computer Organization and Architecture
Digital Image Processing
Adaptive Signal Processing
Digital Signal Processing
Signal Analysis
Digital Logic Design
Wireless Security
Information Theory Coding & Cryptography
Dr. Vishvjit Thakar
Name:
Dr. Vishvjit Thakar
Designation:
Professor
Department:
Computer Science and Engineering
Areas of Specialization:
Digital Logic Design, Computer Organization, Image
Processing, Robotics and Control
Email:
vishvjit.thakar@indrashiluniversity.edu.in
PROFILE
Dr Vishvjit Thakar has completed BE ( Electronics) with specialization in operating system from BVM
Engineering College, Sardar Patel University in 1991. He completed ME ( Electrical) with specialization in
Automatic Control and Robotics from The M S University of Baroda in 1996. He completed his Ph.D from IIT
Bombay in 2007. He has authored and co authored research papers in National and International journals. He
has published 3 books.
He has supervised 11 Ph.D students and co supervised 2 Ph.D students. He established collaborations with
Foreign
PUBLICATIONS
Dr.Vishvjit Thakar research area is interdisciplinary in nature. He carried out research in sliding
mode control. He carried out research in the area of Image Registration and AI and Machine Learning.
Selected Publications
"Dictionary learning-based image super-resolution for multimedia devices." Multimedia Tools and
Applications 82.11 (2023): 17243-17262.
"CHI-SQUARE STATISTICS BASED STATE ESTIMATION OF STOCHASTIC HYBRID SYSTEM WITH MISSING MEASUREMENTS.
Reliability: Theory & Applications, 16(SI 1 (60)), 287-294.
Event-Triggered Particle Filter for State Estimation of Non-linear Stochastics Hybrid System with
Missing Measurements. In 2020 International Conference on Inventive Computation Technologies (ICICT) (pp.
1075-1079). IEEE.
Single image super-resolution through sparse representation via coupled dictionary learning.
International Journal of Electronics and Telecommunications, 66.
Image registration of satellite images with varying illumination level using HOG descriptor based SURF.
Procedia computer science, 93, 382-388.
Google Scholar Link:
https://scholar.google.com/citations?user=--nuoR8AAAAJ&hl=en
Scopus Link:
https://www.scopus.com/authid/detail.uri?authorId=8418004000
TEACHING
Digital Logic Design
Digital Computer Organization
Microprocessors and Interfacing
Embedded Systems and IoT.
Dr. Sachin Sharma
Name:
Dr. Sachin Sharma
Designation:
Asssociate Professor
Department:
Computer Science and Engineering
Areas of Specialization:
AI, Computer Vision, ML
Email:
sachin.sharma@indrashiluniversity.edu.in
PROFILE
He has over 12 years of experience in academics (teaching to undergraduate, postgraduate students and
doctoral students), research organizations (PRL- for design and testing of analog and digital circuits for
HEX payload as part of Chandrayaan 1 mission, ISRO- Data acquisition system for IRNSS project), and
industry. He is also a mentor at Atal Tinkering Lab and Atal Incubation Centre (NITI Aayog, India). He has
written a book on ABS implementation using fuzzy logic-based controller and fundamentals of image
processing. He has also authored numerous articles related to AI, computer vision and intelligent
transportation systems. He has worked as a reviewer for IEEE Transactions on Industrial Electronics, IEEE
Access Journal and Sage Journal. He is a member of professional societies, including IEEE, ISTE and SAE.
RESEARCH
Area of Research:
Computer Vision, Machine Learning
Ongoing Research:
Study of Deep Learning Models for Dry and Wet AMD Detection from OCT Images
PUBLICATIONS
Selected Publications
Sharma S, Pandey S, Shah D. Enhancing Medical Diagnosis with AI: A Focus on Respiratory Disease Detection.
Indian Journal of Community Medicine. 2023; 48 (5): 709-714. Open Access.
Sharma S. Drawing insights from COVID-19-infected patients using CT scan images and machine learning
techniques: a study on 200 patients. Environmental Science and Pollution Research. 2020; 27:37155–37163.
doi.org/10.1007/s11356-020-10133-3.
Ray P, Sharma S, Rawal R. Application of Artificial Intelligence Techniques in the Intensive Care Unit.
International Journal of Reconfigurable and Embedded Systems. 2023; 12(1):42-50. doi.org/10.11591/ijres.
v12.i1. pp42-50.
Sharma S, Shah D. A practical animal detection and collision avoidance system using computer vision
technique. IEEE ACCESS. 2017; 5:347-358. DOI: 10.1109/ACCESS.2016.2642981.
Sharma S, Shah D. Real-time automatic obstacle detection and alert system for driver assistance on
Indian roads. International Journal of Vehicle Autonomous Systems. 2017; 13(3):189-202.
https://doi.org/10.1504/IJVAS.2017.083499. Inderscience Publisher.
Google Scholar:
https://scholar.google.com/citations?user=NKvnOVwAAAAJ&hl=en
Scopus:
https://www.scopus.com/authid/detail.uri?authorId=57216282580
ORCID:
https://orcid.org/0000-0002-9918-7914
TEACHING
Machine Learning
Image Processing
Computer Vision
Deep Learning
Python
Blockchain
DBMS
Digital Logic Design
Mr. Bhavesh Jain
Name:
Mr. Bhavesh Jain
Designation:
Adhoc Assistant Professor
Department:
Computer Science & Engineering
Areas of Specialization:
Cloud Computing, Cryptography and Network
Security, Programming Language
Email:
Bhavesh.jain@indrashiluniversity.edu.in
PROFILE
Mr. Bhavesh Jain, an Assistant Professor in the Computer Science & Engineering Department at
Indrashil University, School of Engineering in Rajput-Kadi, Gujarat. He pursuing his Ph.D. in
Computer Science & Engineering (CSE) at Indrashil University in Gujarat in 2020, following an
M.Tech. in CSE from Gujarat Technological University in 2017, and a B.Tech. in Computer Science
& Engineering from the same university in 2014.
Bhavesh Jain holds an M.Tech. degree with the title "A Friend Recommendation in Social
Bookmarking System using Behaviour Data Mining". He has over seven years of experience in
training and teaching, with one year of research experience. Mr. Jain has previously worked as a
Teaching Assistant (Ad hoc Lecturer) at Saraswati College of Engineering & Technology, Rajpur
Kadi, Gujarat, as well as an Assistant Professor at various universities, including Indrashil
Institute of Science & Technology, Rajpur, Kadi, Gujarat, Indrashil University, Rajpur, Kadi,
Gujarat, and Institute of Computer Technology, Ganpat University, Ahmedabad.
His research interests include Cloud Computing, Cryptography, and Network Security, and he has
published over five national and international research papers and conference papers (including
SCOPUS). He has also authored a programming book entitled
"Next Programming in C
Language."
In
addition, he has completed over ten online courses on Coursera and has coordinated numerous
technical fests at the institute and university levels. Mr. Jain has participated in various
seminars, workshops, and conferences throughout his career.
RESEARCH
Area of Research
Cloud Computing, Cryptography and Network Security, Programming Language.
PUBLICATIONS
Selected Publications
“Energy efficient clustering technique to reduce load in cloud computing.” International
Journal of Computer Science and Information Security (IJCSIS) Vol. 19, No. 6, June 2021
“An Algorithm for Load Balancing 2 in Computational Grid Using 3 Activity Based and CPU
Usage 4 Approach” Bhavesh Jain in Information and Communication Technology for Competitive
Strategies (Springer Nature Singapore Pvt Ltd.), 2018.
“A friend Recommendation in a social bookmarking system using behavioural data mining”
IJSART Volume 3, Issue 4, April 2017.
“Architecture based on Li-Fi to enhance the working environment” IJARCCE Volume 6, Issue 2,
February 2017.
“A Survey on Friend Recommendation in a Social Bookmarking System” IJIRT Volume 3, Issue 7,
December 2016.
Google Scholar:
https://scholar.google.co.in/citations?user=JexQRwMAAAAJ&hl=en
Scopus:
https://www.scopus.com/dashboard.uri?origin=&zone=TopNavBar
ORCID:
https://orcid.org/0000-0002-1434-4619
TEACHING
Cloud Computing (AWS Cloud)
Enterprise Application for Cloud (IBM Cloud)
User Experience Design
Cloud Application and Development
Object Oriented Programming Language using Java.
Object Oriented Programming Language using C++.
Object Oriented Programming Language using C#
Programming in C Language
Advanced Java
Theory of Computation
Web Technology
Data Structure
Cryptography and Network Security
Design Analysis and Algorithm
Compiler Design
Mr.Mukesh Choubisa
Name:
Mr.Mukesh Choubisa
Designation:
Adhoc Assistant Professor
Department:
Computer Science & Engineering
Areas of Specialization:
IoT, Cyber Security, BCI,
Database, DSA, Network Security
Email:
Mukesh.choubisa@indrashiluniversity.edu.in
PROFILE
Mr. Mukesh Choubisa is Assistant Professor of Computer Science Engineering at Indrashil
University, Mehsana-Gujarat, India. Prior to joining IU, he worked with various university in
India. He has 10+ year experience of teaching, research and industry.
His research work broadly cover all area of cyber security, IoT and IT security. Mr. Mukesh
Choubisa pursuing PhD degree in field of IoT Authentication system. He did M.Tech degree from
Govt. Engineering College, Ajmer and B.Tech degree from Rajasthan Technical University.
RESEARCH
Area of Research
Internet of Things, Cyber Security, Network Security, Brain Computer Interface, Video
Surveillance system, Database management system, Data Structure, AI&ML.
PUBLICATIONS
Selected Publications
“Security & Privacy Concerns, Medjacking and Attacks in IoT Healthcare System” in Recent
Trends in Computer Engineering & Application’s Journal" held at “ Sandeep University-Nasik
"Machine learning in cyber security" in Recent Trends in Computer Engineering &
Application’s Journal" held at “ Sandeep University-Nasik .
IEEE Conference ICGCIoT- 2105 held at Galgotias University – Grater Noida with paper
“Analysing EEG Signals for Detection of Mind awake stage and sleep deprivation stage”.
“Analysis EEG signal for detection of eye and mind activity” in International conference
on “Innovation Research in Computer Science Technology (MECIT-2015)” held at “JNU - Delhi”.
“Analysis EEG signal for Mind activity” In International Conference on “Advance
innovation in Computer Science technology (AICT-2015)” held at “Jawaharlal Nehru University
-Delhi”.
Indian Patent
“AI BASED DEVICE FOR BAR CODE GRAPHICS QUALITY CONTROL AND FOR PROCESSING IMAGE DATA
RELATING TO BAR CODES” Indian Patent Published with Application no- 202341008219 .
“MACHINE LEARNING BASED DEVICE FOR COOLING THE BRAIN AND ASSOCIATED NEUROLOGIC TISSUES TO
PREVENT NEUROLOGIC INJURIES” Indian Patent Published with application no- 202341008219
TEACHING
Data Structure and Algorithms
Database management system
Cyber Security
IoT(Internet of Things)
Brain Computer Interface
AI & ML
Web Technology
Web & Database Security
Soft Computing
Mrs. Ruchika Dungarani
Name:
Mrs. Ruchika Dungarani
Designation:
Adhoc Assistant Professor
Department:
Computer Science & Engineering
Areas of Specialization:
Information Security
Email:
ruchika.dungarani@indrashiluniversity.edu.in
PROFILE
PhD (Pursuing)
M.Tech, Growmore Faculty of Engineering, Himmatnagar(GMFE), India
B.Tech, Growmore Faculty of Engineering, Himmatnagar(GMFE), India
Diploma, V.P.M.P Polytechnic, Gandhinagar,India
Total Experience in Years : 04 years
PUBLICATIONS
Selected Publications
Dungarani, R. P., Patel, K., & Shah, R. Research on Storage Privacy Via Black-Box and
Sanitizable Signature. IJSTE Volume : 3, Issue : 11 196-201.
Dungarani, R. P., Patel, K., Paper on Privacy Preserving Data in Web Log Mining, IJSRD,
Volume : 4, Issue : 1 1565-1567.
Dungarani, R. P., Patel, K.,Paper on Storage Privacy Via Black-Box and Sanitizable
Signature TIGER Volume : 2, Issue : 06 2524-2528
Dungarani, R. P., Patel, K Survey on Sanitizable signature and Redactable Signature in
Information Secutity, , IJSRD, Volume : 4, Issue : 8 5578-5583
Chudasama, D., & Dungarani, R. (2022). A Comparative Study About Cyberattacks and
Cybersecurity in Real World. Journal of Network Security, 10(3), 15-23p.
Google Scholar:
https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=YFVvzscAAAAJ
TEACHING
BigData with Hadoop
Operating System
C Programming
Android Application
Database Management System
Advance Database Management System.
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POST GRADUATE DIPLOMA IN CYBER SECURITY AND DIGITAL FORENSIC in Collaboration with EC-COUNCIL
ABOUT THE DEPARTMENT:
The department of Computer Sciences and Engineering offers B. Tech. program in Computer Sciences and Engineering with minor specialization in subjects like Wireless Networks, Mobile Computing, 5G and Internet of Things, Big Data Analytics, Security in Wireless Networks, Cyber Security and Computer Vision.
The department always sets a high growth path inviting inputs from industry experts and eminent academicians to make the courses contemporary. It has experienced and dedicated faculty, with a strong commitment to engineering education and who work with zeal and enthusiasm providing a vibrant and optimum learning environment for the students in order to help them excel in today’s competitive environment.
It consists of highly qualified faculty having experience in research and industry. Their expertise covers various domains of Computer Engineering, Data Sciences, Computer Networks and Machine Learning.
OBJECTIVES:
Equip students with advanced knowledge and skills in cybersecurity to effectively protect and secure digital assets.
Develop expertise in digital forensic techniques, enabling graduates to investigate and analyze cyber incidents and crimes.
Foster a comprehensive understanding of the legal and ethical aspects of cybersecurity, ensuring graduates can operate within legal frameworks and ethical standards.
Provide hands-on experience in utilizing cutting-edge tools and technologies for detecting, preventing, and responding to cyber threats.
Cultivate critical thinking and problem-solving abilities in the context of cybersecurity challenges, enabling graduates to address complex issues in the field.
Prepare professionals for leadership roles in the cybersecurity domain by instilling a deep understanding of risk management, policy development, and strategic planning.
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Why PGDCSDF at Indrashil University?
Post Graduate Diploma in Cyber Security and Digital Forensic is a one-year program offered by Indrashil University in association with EC-Council.
The online based offered program designed by Indrashil University gives you a full package of four courses included that help you not only grow your career in Cyber Security and Digital Forensic but also provide knowledge that most of the experts and professionals have after experiencing the field.
This provides globally recognized EC-Council programs with highly dynamic cyber range and iLabs.
The four courses provided are global certifications like CND, CEH, ECIH and CHFI from EC-Council, USA
What is EC-Council?
EC-Council (International Council of E-Commerce Consultants) is the world's largest certification body for Information Security professionals.
It is the owner and creator of the world famous Certified Ethical Hacker (CEH), Computer Hacking Forensics Investigator (CHFI) and License Penetration Tester (LPT) programs, and as well as many others programs offered in 145 countries.
TEC-Councils globally recognized Certified Ethical Hacker course provides a real world experience and hands on training about understanding of cyber and network threats, determining hacker motives, fixing system and application vulnerabilities, vulnerability assessments, intrusion detection and deflects attacks.
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Salient features:
Comprehensive Curriculum designed by industry experts and academicians to strike balance between theory and practical curriculum covering network security, cryptography, incident response, and more
Hands-on learning through lab exercises and real-world case studies
Industry-relevant skills development for job readiness
Expert faculty with real-world experience in cyber security
Networking opportunities with industry professionals and alumni
Preparation for industry certifications like CompTIA Security+ and CEH
Students will also be awarded with PGDCSDF certificate by Indrashil University
Culminating capstone project to showcase skills
Flexible study options: full-time, part-time, online, and on-campus
Dedicated career support services including resume building and job placement assistance
Ongoing professional development to stay updated with industry trends and technologies.
Program Structure
Program Outline:
Total Credits: 24
Trimester system
9 compulsory modules (16 credits)
Last Trimester Project (8 credits)
Eligibility Criteria:
Engineering (BE/BTECH/ME/MTECH in IT/CE/CSE/ICT/EC/EE)
Computer Application (BCA/MCA)
Computer Science (BSc IT/ MSc IT)
Management (BBA IT/MBA IT)
Career
Diverse opportunities for graduates to contribute to safeguarding digital assets and combating cyber threats across various industries. Some of the roles are:
Cyber Security Analyst
Digital Forensics Investigator
Incident Responder
Security Consultant
Penetration Tester/Ethical Hacker
Security Architect
Threat Intelligence Analyst
Cyber Security Manager/Director
Cyber Security Trainer/Educator
Selection Criteria:
Selection of the student will be based on
Work experience
Performance in personal interview including group discussion
Batch size- 30 students per year
Download the curriculum & Syllabus for POST GRADUATE DIPLOMA IN CYBER SECURITY AND DIGITAL FORENSIC
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Download the Fees Structure for POST GRADUATE DIPLOMA IN CYBER SECURITY AND DIGITAL FORENSIC
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Our Mentors
Keshav Kumar, IPS ( Retd )
Consultant Home Dept. Govt of Assam, Advisory
Consulting, for Governments & Corporates, Forensic Sciences application
Expert in Anti-Corruption, Anti -Bribery, Corporate Governance, Wildlife Crime Investigation
Click here for More Details
Dr. Vinay Kumar Srivastava
Centre Head, CBMIS, SISPA
D. Phill., MSc., BSc.
35 years and 5 months including deputation tenure as “security Officers” in MHA.
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Ms. Neha Singh
Name:
Ms. Neha Singh
Designation:
Assistant Professor
Department:
Computer Science & Engineering
Areas of Specialization:
Machine Learning, Artificial Intelligence,
Network Security
Email:
neha.singh@indrashiluniversity.edu.in
PROFILE
Ms. Neha Singh is having 11 years of teaching experience within India as well as abroad (China).
She is Pursuing PhD from Uttarakhand Technical University (State University), Dehradun. She
obtained her M.Tech. (Computer Science & Engineering) from Shobhit University and B.Tech.
(Computer Science & Engineering) with Hons. from Government college, SCRIET, Meerut. She has
Supervised many Master students in their research. She has published many national and
international research paper and attended various conferences. Her area of research includes
Wireless Sensor Network (WSN), Network Security, Artificial Intelligence and Machine Learning.
RESEARCH
Area of Research
Wireless Sensor Network, Mobile Adhoc Network, Artificial Intelligence & Machine Learning
Mobile Adhoc Network, Security in wireless sensor network, Advanced Security Scheme to
defend against DDOS Attacks in MANET:
An algorithm was created for defending sensor networks specifically for DDoS attacks. Our
proposed Defenses mechanism uses a Machine learning algorithm to detect the attackers.
PUBLICATIONS
Selected Publications
Plants Diseases Prediction Framework: A Image-Based System Using Deep Learning, 2022 IEEE
World Conference on Applied Intelligence and Computing, AIC 2022, 2022, pp. 307–313
Comparative analysis of various techniques of DDoS attacks for detection & prevention and
their impact in MANET, 2020, Springer, Singapore, Performance Management of Integrated
Systems and its Applications in Software Engineering.
An Efficient QoS Routing Scheme in Mobile Adhoc Networks Using Ant Colony Optimization,
Elsevier, SSRN 2019.
Comparative Analysis for E-Services Based on Chi-Square Test, Elsevier, SSRN 2019.
Energy Efficient Techniques for Data aggregation and collection in WSN, IJCSEA, 2012.
Google Scholar:
https://scholar.google.com/citations?user=ZjHRApoAAAAJ&hl=en
Scopus:
https://www.scopus.com/authid/detail.uri?authorId=57225152986
ORCID:
https://orcid.org/my-orcid?orcid=0000-0002-2140-8182
TEACHING
Artificial Intelligence
Machine learning
Soft Computing
Database Management System
Computer Networks
Operating System
Software Engineering
Software Testing & Quality Assurance
Software Analysis & Design
Data Mining & Warehouse
Information Technology & its Management
Cryptography & Network Security
Yogeshkumar Kushwah
Name:
Yogeshkumar Kushwah
Designation:
Assistant Professor
Department:
Computer Science and Engineering
Areas of Specialization:
Software Engineering, Cloud
Computing, Machine Learning
Email:
yogesh.kushwah@indrashiluniversity.edu.in
PROFILE
Mr. Yogesh Kumar Kushwah is an Assistant Professor School of
Engineering at Indrashil University, Rajpur, Mehsana, Gujarat,
India. He is recipient of over 6 research papers in UGC CARE,
International and DPA journals and conferences and published paper
with over 47 citations & 1 h index & 1 i-10 index. He is interested
to research in computer science field.
Mr. YK Kushwah is having more than 6 years of teaching experience
within India. He obtained his M.Tech (Computer Science &
Engineering) from Monad University, Hapur, UP and another M.Tech
(Environmental Engineering) with Honours From(ECK Government college
RTU, Kota. He has been completed B.Tech in Information Technology
from Rajasthan Technical University with Honours. He has supervised
many Engineering students in their project work. He has published
many national and international research papers and attended various
conferences. His area of research includes COT and IOT, Artificial
Intelligence and Machine Learning, Software Engineering.
He also contributed work of Senior Supervisor in Mumbai University
Exam at Ideal Institute of Technology, Wada, and MAHARASHTRA. He
also worked there as an Assistant Professor.
He Worked before Madhav University, Abu Road, Rajasthan, IIT Wada,
Maharashtra and Swarrnim Startup and Innovation University, Gujarat.
Currently working Indrashil University, Rajpur, Gujarat.
RESEARCH
Area of Research
Machine Learning, Cloud Computing, Cryptography and Network
Security, COT and IOT.
PUBLICATIONS
Selected Publications
AN EMERGING APPROACH OF BLOCK CHAIN TECHNOLOGY, COT AND IOT
APPLICATIONS AND CHALLENGES SK Pandey, R Pandey, YK Kushwah, S
Rasheed Journal of Data Acquisition and Processing 38 (3), 838.
“DEVELOPMENT OF AN INTELLIGENT TRANSISTOR SYSTEM FOR SMART CITIES
TO PROVIDE COMMERCIAL PARKING SPACES USING ARTIFICIAL INTELLIGENCE
AND MACHINE LEARNING TECHNIQUES” Yogesh kumar Kushwah IN Patent
THE PATENT ACT, 1970 (39 of 1970).
Environmental degradation: causes, impacts and mitigation, , YK
Kushwah, MP Choudhary, GS Chauhan in National seminar on recent
advancements in protection of environment.
Heavy Metal Concentrations in Topsoil along National Highway-12,
Kota-Deoli (Tonk) MP Choudhary, YK Kushwah ,IJIRS , Engineering
and Technology.
“DEVELOPMENT OF AN INTELLIGENT TRANSISTOR SYSTEM FOR SMART CITIES
TO PROVIDE COMMERCIAL PARKING SPACES USING ARTIFICIAL INTELLIGENCE
AND MACHINE LEARNING TECHNIQUES” YK Kushwah IPR Application
No.202211074981 A, 21.
Appraisal of Rajasthan Ambient Air Quality During Covid 19
Pandemic Lockdown, yogesh kushwaha , GS Chauhan in Journal of
Xidian University 14 (8), 5797-5807.
Heavy Metal Contamination of Topsoil along National Highways: A
Caste Study of NH-12, Kota, Deoli Rajasthan, India yogesh kumar
Kushwah December 19, 2016 by LAP LAMBERT Academic Publishing .
Google Scholar:
https://scholar.google.com/citations?user=0XkVDeUAAAAJ&hl=en
TEACHING
Data Structure using 0043
Software Engineering
Machine Learning
Computer Networks
Computer Organization and Architecture
Computer Graphics
System Analysis and Design
Web Designing
Human Computer Interaction
Information Network & Cyber Security
Cloud Computing
Mobile computing
E-Commerce
Dr. Sidheswar Routray
Name:
Dr. Sidheswar Routray
Designation:
Associate Professor & Dean, SOE
Department:
Computer Science & Engineering
Areas of Specialization:
Image Processing, Natural Language Processing, Artificial Intelligence, Machine Learning, IoT
Email:
sidheswar.routray@indrashiluniversity.edu.in
PROFILE
Sidheswar Routray received the B.Tech and M.Tech degrees from Biju Patnaik University of Technology, Rourkela, India. He received his Ph.D. degree from KIIT University (Institute of Eminence), Bhubaneswar, India. He was a Post-doctoral Research Fellow with the School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China. He is currently working as an Associate Professor, Department of Computer Science and Engineering & Dean-School of Engineering at Indrashil University, Rajpur, Mehsana, Gujarat, India. He has 13 years of teaching and research experience in top-ranked educational institutions. He has worked as a remote researcher at Zhejiang Lab, Zhejiang University, China. He has published over 44 research papers in SCI and Scopus indexed journals and conferences. He has published two German patents to his credit. He is an active member of technical program committees of leading International conferences such as CCGRID 2023, SPIN-2023, ICIICC-2022. He has also served as a reviewer for various top-ranked journals such as IEEE IoT, IEEE Transaction on Industrial Technology, IEEE Access, IEEE Transaction on Consumer Electronics, Signal Image and Video Processing, Optik, Sustainability, Sensors, Electronics. He is currently serving as Lead guest editor for the IEEE Journal of Biomedical and Health Informatics. His research interests include Image Processing, Natural Language Processing, Artificial Intelligence, Machine Learning, and IoT.
RESEARCH
Image Processing
Design of Image Denoising Algorithms Using Sparsifying Transforms to Preserve Geometric Components
Speech Processing
Development of single-channel speech enhancement algorithms using deep learning-based frameworks for automatic speech recognition application
Internet of Medical Things
Internet of things (IoT) based Smart Healthcare System for Efficient Diagnostics of Health Parameters of Patients in Emergency Care
Project Grant
“Research on Efficient Speech Enhancement Techniques Using Learning Based Approach” funded by Jiangsu Planned Projects for Postdoctoral Research Funds, Jiangsu Province, P.R. China, Grant No: 2019K222.
He is recipient of over 44 research papers in SCI and Scopus indexed journals and conferences and published two German patents with over 457 citations & 13 H index.
PUBLICATIONS
Selected Publications
S. Routray
and Q. Mao, A Context Aware Based Deep Neural Network Approach for Simultaneous Speech Denoising and Dereverberation, Neural Computing and Applications,
Springer
, Volume 34, No. 12, pp. 9831-9845, 2022, https://doi.org/10.1007/s00521-022-06968-1.
(SCI & Scopus) IF-5.102
S. Routray
and Q. Mao, Phase sensitive masking-based single channel speech enhancement using conditional generative adversarial network, Computer Speech & Language,
Elsevier
, Volume 71, 2022, 101270, https://doi.org/10.1016/j.csl.2021.101270.
(SCI & Scopus) IF-3.252
S. Routray
, A. K. Ray and C. Mishra, “An efficient image denoising method based on principal component analysis with learned patch groups,” Signal, Image and Video Processing,
Springer
, Volume 13, No. 7, pp. 1405–1412. 2019. DOI: 10.1007/s11760-019-01489-2.
(SCI & Scopus) IF-2.157
S. Routray
, A. K. Ray and C. Mishra, “Image Denoising by Preserving Geometric Components Based on Weighted Bilateral Filter and Curvelet Transform,” Optik,
Elsevier
, Volume 159, pp. 333-343, 2018. DOI: 10.1016/j.ijleo.2018.01.096.
(SCI & Scopus) IF-2.840
A. Balasundaram,
S. Routray
*, A. V. Prabu, P. Krishnan, P. P. Malla, & M. Maiti, “Internet of things (IoT) based Smart Healthcare System for Efficient Diagnostics of Health Parameters of Patients in Emergency Care”,
IEEE
Internet of Things Journal, 2023
(SCI & Scopus) IF-9.473.
Google Scholar:
https://scholar.google.co.in/citations?user=oNofNrQAAAAJ&hl=en
Scopus:
https://www.scopus.com/authid/detail.uri?authorId=57190341660
ORCID:
https://orcid.org/0000-0002-3658-3514
TEACHING
Data Science
Data Analytics using R
Deep Learning
Data Analysis & Interpretation
Computer Organization and Architecture
Digital Image Processing
Adaptive Signal Processing
Digital Signal Processing
Signal Analysis
Digital Logic Design
Wireless Security
Information Theory Coding & Cryptography
Dr. Vishvjit Thakar
Name:
Dr. Vishvjit Thakar
Designation:
Professor
Department:
Computer Science and Engineering
Areas of Specialization:
Digital Logic Design, Computer Organization, Image
Processing, Robotics and Control
Email:
vishvjit.thakar@indrashiluniversity.edu.in
PROFILE
Dr Vishvjit Thakar has completed BE ( Electronics) with specialization in operating system from BVM
Engineering College, Sardar Patel University in 1991. He completed ME ( Electrical) with specialization in
Automatic Control and Robotics from The M S University of Baroda in 1996. He completed his Ph.D from IIT
Bombay in 2007. He has authored and co authored research papers in National and International journals. He
has published 3 books.
He has supervised 11 Ph.D students and co supervised 2 Ph.D students. He established collaborations with
Foreign
PUBLICATIONS
Dr.Vishvjit Thakar research area is interdisciplinary in nature. He carried out research in sliding
mode control. He carried out research in the area of Image Registration and AI and Machine Learning.
Selected Publications
"Dictionary learning-based image super-resolution for multimedia devices." Multimedia Tools and
Applications 82.11 (2023): 17243-17262.
"CHI-SQUARE STATISTICS BASED STATE ESTIMATION OF STOCHASTIC HYBRID SYSTEM WITH MISSING MEASUREMENTS.
Reliability: Theory & Applications, 16(SI 1 (60)), 287-294.
Event-Triggered Particle Filter for State Estimation of Non-linear Stochastics Hybrid System with
Missing Measurements. In 2020 International Conference on Inventive Computation Technologies (ICICT) (pp.
1075-1079). IEEE.
Single image super-resolution through sparse representation via coupled dictionary learning.
International Journal of Electronics and Telecommunications, 66.
Image registration of satellite images with varying illumination level using HOG descriptor based SURF.
Procedia computer science, 93, 382-388.
Google Scholar Link:
https://scholar.google.com/citations?user=--nuoR8AAAAJ&hl=en
Scopus Link:
https://www.scopus.com/authid/detail.uri?authorId=8418004000
TEACHING
Digital Logic Design
Digital Computer Organization
Microprocessors and Interfacing
Embedded Systems and IoT.
Dr. Sachin Sharma
Name:
Dr. Sachin Sharma
Designation:
Asssociate Professor
Department:
Computer Science and Engineering
Areas of Specialization:
AI, Computer Vision, ML
Email:
sachin.sharma@indrashiluniversity.edu.in
PROFILE
He has over 12 years of experience in academics (teaching to undergraduate, postgraduate students and
doctoral students), research organizations (PRL- for design and testing of analog and digital circuits for
HEX payload as part of Chandrayaan 1 mission, ISRO- Data acquisition system for IRNSS project), and
industry. He is also a mentor at Atal Tinkering Lab and Atal Incubation Centre (NITI Aayog, India). He has
written a book on ABS implementation using fuzzy logic-based controller and fundamentals of image
processing. He has also authored numerous articles related to AI, computer vision and intelligent
transportation systems. He has worked as a reviewer for IEEE Transactions on Industrial Electronics, IEEE
Access Journal and Sage Journal. He is a member of professional societies, including IEEE, ISTE and SAE.
RESEARCH
Area of Research:
Computer Vision, Machine Learning
Ongoing Research:
Study of Deep Learning Models for Dry and Wet AMD Detection from OCT Images
PUBLICATIONS
Selected Publications
Sharma S, Pandey S, Shah D. Enhancing Medical Diagnosis with AI: A Focus on Respiratory Disease Detection.
Indian Journal of Community Medicine. 2023; 48 (5): 709-714. Open Access.
Sharma S. Drawing insights from COVID-19-infected patients using CT scan images and machine learning
techniques: a study on 200 patients. Environmental Science and Pollution Research. 2020; 27:37155–37163.
doi.org/10.1007/s11356-020-10133-3.
Ray P, Sharma S, Rawal R. Application of Artificial Intelligence Techniques in the Intensive Care Unit.
International Journal of Reconfigurable and Embedded Systems. 2023; 12(1):42-50. doi.org/10.11591/ijres.
v12.i1. pp42-50.
Sharma S, Shah D. A practical animal detection and collision avoidance system using computer vision
technique. IEEE ACCESS. 2017; 5:347-358. DOI: 10.1109/ACCESS.2016.2642981.
Sharma S, Shah D. Real-time automatic obstacle detection and alert system for driver assistance on
Indian roads. International Journal of Vehicle Autonomous Systems. 2017; 13(3):189-202.
https://doi.org/10.1504/IJVAS.2017.083499. Inderscience Publisher.
Google Scholar:
https://scholar.google.com/citations?user=NKvnOVwAAAAJ&hl=en
Scopus:
https://www.scopus.com/authid/detail.uri?authorId=57216282580
ORCID:
https://orcid.org/0000-0002-9918-7914
TEACHING
Machine Learning
Image Processing
Computer Vision
Deep Learning
Python
Blockchain
DBMS
Digital Logic Design
Mr. Bhavesh Jain
Name:
Mr. Bhavesh Jain
Designation:
Adhoc Assistant Professor
Department:
Computer Science & Engineering
Areas of Specialization:
Cloud Computing, Cryptography and Network
Security, Programming Language
Email:
Bhavesh.jain@indrashiluniversity.edu.in
PROFILE
Mr. Bhavesh Jain, an Assistant Professor in the Computer Science & Engineering Department at
Indrashil University, School of Engineering in Rajput-Kadi, Gujarat. He pursuing his Ph.D. in
Computer Science & Engineering (CSE) at Indrashil University in Gujarat in 2020, following an
M.Tech. in CSE from Gujarat Technological University in 2017, and a B.Tech. in Computer Science
& Engineering from the same university in 2014.
Bhavesh Jain holds an M.Tech. degree with the title "A Friend Recommendation in Social
Bookmarking System using Behaviour Data Mining". He has over seven years of experience in
training and teaching, with one year of research experience. Mr. Jain has previously worked as a
Teaching Assistant (Ad hoc Lecturer) at Saraswati College of Engineering & Technology, Rajpur
Kadi, Gujarat, as well as an Assistant Professor at various universities, including Indrashil
Institute of Science & Technology, Rajpur, Kadi, Gujarat, Indrashil University, Rajpur, Kadi,
Gujarat, and Institute of Computer Technology, Ganpat University, Ahmedabad.
His research interests include Cloud Computing, Cryptography, and Network Security, and he has
published over five national and international research papers and conference papers (including
SCOPUS). He has also authored a programming book entitled
"Next Programming in C
Language."
In
addition, he has completed over ten online courses on Coursera and has coordinated numerous
technical fests at the institute and university levels. Mr. Jain has participated in various
seminars, workshops, and conferences throughout his career.
RESEARCH
Area of Research
Cloud Computing, Cryptography and Network Security, Programming Language.
PUBLICATIONS
Selected Publications
“Energy efficient clustering technique to reduce load in cloud computing.” International
Journal of Computer Science and Information Security (IJCSIS) Vol. 19, No. 6, June 2021
“An Algorithm for Load Balancing 2 in Computational Grid Using 3 Activity Based and CPU
Usage 4 Approach” Bhavesh Jain in Information and Communication Technology for Competitive
Strategies (Springer Nature Singapore Pvt Ltd.), 2018.
“A friend Recommendation in a social bookmarking system using behavioural data mining”
IJSART Volume 3, Issue 4, April 2017.
“Architecture based on Li-Fi to enhance the working environment” IJARCCE Volume 6, Issue 2,
February 2017.
“A Survey on Friend Recommendation in a Social Bookmarking System” IJIRT Volume 3, Issue 7,
December 2016.
Google Scholar:
https://scholar.google.co.in/citations?user=JexQRwMAAAAJ&hl=en
Scopus:
https://www.scopus.com/dashboard.uri?origin=&zone=TopNavBar
ORCID:
https://orcid.org/0000-0002-1434-4619
TEACHING
Cloud Computing (AWS Cloud)
Enterprise Application for Cloud (IBM Cloud)
User Experience Design
Cloud Application and Development
Object Oriented Programming Language using Java.
Object Oriented Programming Language using C++.
Object Oriented Programming Language using C#
Programming in C Language
Advanced Java
Theory of Computation
Web Technology
Data Structure
Cryptography and Network Security
Design Analysis and Algorithm
Compiler Design
Mr.Mukesh Choubisa
Name:
Mr.Mukesh Choubisa
Designation:
Adhoc Assistant Professor
Department:
Computer Science & Engineering
Areas of Specialization:
IoT, Cyber Security, BCI,
Database, DSA, Network Security
Email:
Mukesh.choubisa@indrashiluniversity.edu.in
PROFILE
Mr. Mukesh Choubisa is Assistant Professor of Computer Science Engineering at Indrashil
University, Mehsana-Gujarat, India. Prior to joining IU, he worked with various university in
India. He has 10+ year experience of teaching, research and industry.
His research work broadly cover all area of cyber security, IoT and IT security. Mr. Mukesh
Choubisa pursuing PhD degree in field of IoT Authentication system. He did M.Tech degree from
Govt. Engineering College, Ajmer and B.Tech degree from Rajasthan Technical University.
RESEARCH
Area of Research
Internet of Things, Cyber Security, Network Security, Brain Computer Interface, Video
Surveillance system, Database management system, Data Structure, AI&ML.
PUBLICATIONS
Selected Publications
“Security & Privacy Concerns, Medjacking and Attacks in IoT Healthcare System” in Recent
Trends in Computer Engineering & Application’s Journal" held at “ Sandeep University-Nasik
"Machine learning in cyber security" in Recent Trends in Computer Engineering &
Application’s Journal" held at “ Sandeep University-Nasik .
IEEE Conference ICGCIoT- 2105 held at Galgotias University – Grater Noida with paper
“Analysing EEG Signals for Detection of Mind awake stage and sleep deprivation stage”.
“Analysis EEG signal for detection of eye and mind activity” in International conference
on “Innovation Research in Computer Science Technology (MECIT-2015)” held at “JNU - Delhi”.
“Analysis EEG signal for Mind activity” In International Conference on “Advance
innovation in Computer Science technology (AICT-2015)” held at “Jawaharlal Nehru University
-Delhi”.
Indian Patent
“AI BASED DEVICE FOR BAR CODE GRAPHICS QUALITY CONTROL AND FOR PROCESSING IMAGE DATA
RELATING TO BAR CODES” Indian Patent Published with Application no- 202341008219 .
“MACHINE LEARNING BASED DEVICE FOR COOLING THE BRAIN AND ASSOCIATED NEUROLOGIC TISSUES TO
PREVENT NEUROLOGIC INJURIES” Indian Patent Published with application no- 202341008219
TEACHING
Data Structure and Algorithms
Database management system
Cyber Security
IoT(Internet of Things)
Brain Computer Interface
AI & ML
Web Technology
Web & Database Security
Soft Computing
Mrs. Ruchika Dungarani
Name:
Mrs. Ruchika Dungarani
Designation:
Adhoc Assistant Professor
Department:
Computer Science & Engineering
Areas of Specialization:
Information Security
Email:
ruchika.dungarani@indrashiluniversity.edu.in
PROFILE
PhD (Pursuing)
M.Tech, Growmore Faculty of Engineering, Himmatnagar(GMFE), India
B.Tech, Growmore Faculty of Engineering, Himmatnagar(GMFE), India
Diploma, V.P.M.P Polytechnic, Gandhinagar,India
Total Experience in Years : 04 years
PUBLICATIONS
Selected Publications
Dungarani, R. P., Patel, K., & Shah, R. Research on Storage Privacy Via Black-Box and
Sanitizable Signature. IJSTE Volume : 3, Issue : 11 196-201.
Dungarani, R. P., Patel, K., Paper on Privacy Preserving Data in Web Log Mining, IJSRD,
Volume : 4, Issue : 1 1565-1567.
Dungarani, R. P., Patel, K.,Paper on Storage Privacy Via Black-Box and Sanitizable
Signature TIGER Volume : 2, Issue : 06 2524-2528
Dungarani, R. P., Patel, K Survey on Sanitizable signature and Redactable Signature in
Information Secutity, , IJSRD, Volume : 4, Issue : 8 5578-5583
Chudasama, D., & Dungarani, R. (2022). A Comparative Study About Cyberattacks and
Cybersecurity in Real World. Journal of Network Security, 10(3), 15-23p.
Google Scholar:
https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=YFVvzscAAAAJ
TEACHING
BigData with Hadoop
Operating System
C Programming
Android Application
Database Management System
Advance Database Management System.
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