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

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

1. 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.
2. “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).
3. Environmental degradation: causes, impacts and mitigation, , YK Kushwah, MP Choudhary, GS Chauhan in National seminar on recent advancements in protection of environment.
4. Heavy Metal Concentrations in Topsoil along National Highway-12, Kota-Deoli (Tonk) MP Choudhary, YK Kushwah ,IJIRS , Engineering and Technology.
5. “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.
6. Appraisal of Rajasthan Ambient Air Quality During Covid 19 Pandemic Lockdown, yogesh kushwaha , GS Chauhan in Journal of Xidian University 14 (8), 5797-5807.
7. 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

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.

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

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

1. 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.
2. 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.
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.
4. 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.
5. 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

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

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

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.