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

Sangeeta Giri has 5 years of experience in the field of Computer Science and Engineering. She completed her B.Tech from Biju Patnaik University of Technology (BPUT), Bhubaneswar, and her M.Tech from L.D. College of Engineering. Currently, she is pursuing a Ph.D.,

RESEARCH

Area of Research

Deep Learning, Federated Learning, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing.

PUBLICATIONS

• Selected Publications

1. Sangeeta Giri & Shittal Solanki, “The New Collaboration Filtering Recommendation Algorithm” IJRAR- International Journal of Research and Analytical Reviews , APRIL JUNE 2019.
2. • Dargad, Sweta, Pooja Thakkar, and Sangeeta Giri. "Machine Learning for Classification of DOS Attack in Smart Healthcare Networks." International Conference on Computing Science, Communication and Security. Cham: Springer International Publishing, 2022.

TEACHING

• Data Science
• Deep Learning
• Python Programming
• Artificial Intelligence
• Natural Language Processing
• Business Intelligence
• C Programming
• Computer Network
• Machine Learning
• Artificial Neural Network
• Data visualization with tableau and Power BI

PROFILE

Ms. Bhavini Patel Completed her M.E (Computer Engineering) with specialization in Cyber Security From Gujarat Technological University-Graduate School of Engineering and Technology .She obtained her B.E.(Computer Engineering) From Engineering College Tuwa and Diploma (Computer Engineering) From HB Patel Institute of Diploma Engineering and Technology. Her area of research includes Mobile Security, Malware Detection and Prevention and Digital Forensics.

RESEARCH

Area of Research

Mobile Security, Malware Detection and Prevention, Static and Dynamic Malware Analysis and Digital Forensics.

TEACHING

• Cyber Security
• Digital Forensics
• Computer Network
• Cryptography
• Ethical Hacking
• Data Structure
• Malware Analysis
• Incidence Response and E-Discovery

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

Mrs. Ankita Tripathi, an Assistant Professor in the School of Economics & Management Department at Indrashil University, School of Engineering in Rajput-Kadi, Gujarat. She holds MBA degree from Kalol Institute of Management, Gujarat Technological University.

RESEARCH

Area of Research
• Finance Management

PUBLICATIONS

Selected Publications
• Mrs. Ankita Tripathi and Ms. Riya Patel, Knowledge Management and Sustainable Development Goals (SDGs): A study on the role of Knowledge Management in achieving the SDGs.

TEACHING

• Business Ethics & Corporate Governance
• Financial Accounting
• Micro Economic
• Organizational Behaviour
• Production & Operation Management
• Digital Marketing
• Financial Markets & Services
• Insurance & Risk Management