Naresh E | Intrusion Detection | Best Researcher Award

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Dr. Naresh E, Intrusion Detection, Best Researcher Award


Doctorate at Manipal Academy of Higher Education, India

Dr. Naresh E is a distinguished academic professional currently serving as an Assistant Professor (Selection Grade) in the Department of Information Technology at Manipal Institute of Technology, Bengaluru, MAHE since June 1, 2022. He previously held a long-term position as an Assistant Professor in the Department of Information Science and Engineering at M S Ramaiah Institute of Technology, Bengaluru, from August 2008 to May 2022. Dr. Naresh completed his Ph.D. in Information Technology from JAIN (Deemed-to-be University) in 2020. He holds an M.Tech from M S Ramaiah Institute of Technology, Bangalore, and a B.E. from Proudadevaraya Institute of Technology, Bellary, both affiliated with VTU. With expertise in subjects like Software Testing, Software Engineering, and Data Mining, Dr. Naresh has successfully secured several funded projects, including grants from ISRO and VGST. He holds seven patents and has various professional certifications, including Apple Certified Trainer and IBM Certified Database Associate. Additionally, Dr. Naresh has completed numerous Coursera certifications from prestigious universities.

Profile:

Education:

Dr. Naresh E has an impressive academic background. He earned his Ph.D. in Information Technology from JAIN (Deemed-to-be University) in 2020. Prior to that, he completed his M.Tech in Information Technology from M S Ramaiah Institute of Technology, Bangalore (VTU) in 2008. His academic journey began with a B.E. in Information Technology from Proudadevaraya Institute of Technology, Bellary (VTU), which he completed in 2005.

Professional Experience:

Dr. Naresh E has an extensive professional background in academia, currently serving as an Assistant Professor (Selection Grade) in the Department of Information Technology at Manipal Institute of Technology, Bengaluru, MAHE, a role he has held since June 1, 2022. Before this, he accumulated substantial experience at M S Ramaiah Institute of Technology, Bengaluru, where he served as an Assistant Professor in the Department of Information Science and Engineering from August 14, 2008, to May 30, 2022. Over these years, Dr. Naresh has demonstrated a commitment to education and research, teaching a variety of subjects including Software Testing, Software Engineering, DBMS, Digital Systems, Operating Systems, and Data Mining. His dedication to fostering academic excellence is further exemplified by his involvement in several funded projects, consultancy works, and his numerous professional and Coursera certifications.

Research Interest:

Dr. Naresh E’s research interests encompass a wide array of topics within the field of Information Technology. He is particularly focused on Software Testing and Software Engineering, exploring innovative methodologies to enhance software quality and reliability. Additionally, his research delves into Data Mining, examining techniques for extracting valuable insights from large datasets. Dr. Naresh is also interested in Software Metrics and Measurements, investigating quantitative methods for assessing software performance and efficiency. Furthermore, his work on Software Architecture and Design Patterns aims to improve the structural design of software systems. Through his research, Dr. Naresh strives to contribute to advancements in these areas, driving improvements in both academic and practical applications of Information Technology.

Subjects Handled:

Dr. Naresh E has handled a comprehensive array of subjects, including Software Testing, Software Engineering, DBMS, Digital Systems, Operating Systems, Intellectual Property Rights, Computer Ethics, Software Metrics and Measurements, Object-Oriented Analysis and Design (OOAD), Software Architecture and Design Patterns, Data Mining, Management and Entrepreneurship, among others.

Achievements:

Dr. Naresh E has a commendable list of achievements, particularly in securing funded projects, engaging in consultancy works, and obtaining professional certifications. He was awarded Rs. 16,94,880 for the ISRO Respond Basket project on June 23, 2022. Additionally, he received a VGST Research Grant for Faculty of Rs. 3,00,000 on August 18, 2021, and an IEEE-CIS grant of $2000 (Rs. 1,46,500) for a High-school Outreach Programme on October 8, 2020. In the realm of consultancy, Dr. Naresh collaborated with TechMachinery Labs, earning Rs. 50,000 from February 2021 to May 2021, and provided his expertise to M S Ramaiah Hospitals, earning Rs. 25,000 during the 2020-21 period. Demonstrating his proactive approach, Dr. Naresh has applied for several funding projects, including DST-FIST (52L), AICTE-MODROB (20L), VTU Research Grant (15.69L), VGST (2L), and RIT-SEED Money (5.57L). He also holds seven granted patents, underscoring his innovative contributions to the field. Dr. Naresh has attained multiple professional certifications, such as Apple Certified Trainer (ACT) for Lion 101, Apple Certified Support Professional (ACSP) for Lion 101, IBM Certified Rational Functional Tester, and IBM Certified Database Associate, further highlighting his expertise and commitment to continuous professional development.

Publications:

Predicting stock price using sentimental analysis through twitter data

  • Authors: NN Reddy, E Naresh, VK BP
  • Year: 2020
  • Citations: 19
  • Conference: 2020 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT)
  • Pages: Not specified

Share Price Prediction using Machine Learning Technique

  • Authors: B Jeevan, E Naresh, BPV Kumar, P Kambli
  • Year: 2018
  • Citations: 18
  • Conference: 2018 3rd International Conference on Circuits, Control, Communication and Computing (I4C)
  • Pages: Not specified

The Impact of Test-Driven Development on Software Defects and Cost: A Comparative Case Study

  • Authors: DM Naresh E, Vijaya Kumar BP, Rayudu
  • Year: 2014
  • Citations: 16
  • Journal: International Journal of Computer Engineering and Technology (IJCET)
  • Volume: 5
  • Issue: 2
  • Pages: Not specified

Impact of Machine Learning in Bioinformatics Research

  • Authors: E Naresh, BPV Kumar, SP Shankar, Ayesha
  • Year: 2020
  • Citations: 15
  • Book: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
  • Pages: Not specified

A Novel Testing Methodology to Improve the Quality of Testing a GUI Application

  • Authors: NESK Kalaskar
  • Year: 2013
  • Citations: 15
  • Journal: MSRJETR
  • Volume: 1
  • Issue: 1
  • Pages: 41-46

Challenges and Issues in Test Process Management

  • Authors: VKBP Naresh E, M
  • Year: 2019
  • Citations: 14
  • Journal: Journal of Computational and Theoretical Nanoscience
  • Volume: 16
  • Issue: 9
  • Pages: 3744-3747

Survey on test generation using machine learning technique

  • Authors: VKBP Naresh E, MDN
  • Year: 2019
  • Citations: 11
  • Journal: International Journal of Recent Technology and Engineering
  • Volume: 7
  • Issue: 6s
  • Pages: 562-566

Drag reduction over a circular cylinder

  • Authors: E Naresh, PD Kumar, BNGA Kumar, BN Goud
  • Year: 2017
  • Citations: 11
  • Journal: International Journal of Civil Engineering and Technology
  • Volume: 8
  • Issue: 8
  • Pages: 1334-1345

Innovative Approaches in Pair Programming to Enhance the Quality of Software Development

  • Authors: VKBP Naresh E
  • Year: 2018
  • Citations: 6
  • Journal: International Journal of Information Communication Technologies and Human Development
  • Volume: Not specified
  • Issue: Not specified
  • Pages: Not specified

 

Qian Lu | Device Identification | Best Researcher Award

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Dr. Qian Lu, Device Identification, Best Researcher Award

Doctorate at Qingdao University,China

Dr. Qian Lu is an Assistant Professor in the School of Computer Science and Technology at Qingdao University. She obtained her Ph.D. degree from Ocean University of China in 2020. With a specialization in network security, wireless communication, and cyber security, Dr. Lu’s research interests encompass a wide range of topics within the realm of information security. She has a particular focus on Wi-Fi device identification, aiming to develop innovative solutions to enhance network security protocols. Through her research and academic endeavors, Dr. Lu is dedicated to advancing knowledge in the field of computer science while fostering the next generation of researchers and professionals in the domain.

Education:

Ph.D. in Computer Science

  • Ocean University of China
  • Year: 2020

Profile:

Professional  Experience:

Dr. Qian Lu completed her Ph.D. at Ocean University of China in 2020 and now holds the position of Assistant Professor within the School of Computer Science and Technology at Qingdao University. Her professional trajectory underscores a dedication to advancing knowledge in network security, wireless communication, and cyber security domains. Dr. Lu’s specialized focus lies in Wi-Fi device identification, where she pioneers research to fortify network security protocols. Through her tenure, she strives to integrate cutting-edge research with practical applications, shaping the future of computer science education and industry practices.

Research Interests:

Dr. Qian Lu’s research interests encompass a multidisciplinary exploration at the intersection of network security, wireless communication, and cyber security, with a specialized focus on Wi-Fi device identification. Within this dynamic field, she delves into understanding vulnerabilities within computer networks and devising robust strategies for intrusion detection and prevention. Additionally, Dr. Lu is deeply engaged in optimizing wireless communication protocols to enhance efficiency, reliability, and security. She also investigates emerging cyber threats, aiming to develop proactive defense mechanisms to safeguard digital infrastructures. Her particular emphasis on Wi-Fi device identification underscores a commitment to advancing access control and security measures in network environments. Through her research pursuits, Dr. Qian Lu contributes to the broader landscape of information security, aiming to address contemporary challenges and foster resilience in digital communication systems.

Publications:

Bot-DM: A dual-modal botnet detection method based on the combination of implicit semantic expression and graphical expression

  • Authors: Wu, G., Wang, X., Lu, Q., Zhang, H.
  • Journal: Expert Systems with Applications
  • Year: 2024
  • Volume: 248
  • Page: 123384
  • [Link to the article](This link is disabled.)

Eliminating Rogue Access Point Attacks in IoT: A Deep Learning Approach With Physical-Layer Feature Purification and Device Identification

  • Authors: Yang, Z., Lu, Q., Zhang, H., Chen, F., Xian, H.
  • Journal: IEEE Internet of Things Journal
  • Year: 2023
  • Status: Article in Press
  • [Link to the article](This link is disabled.)

Privacy-preserving deep learning for electricity consumer characteristics identification

  • Authors: Zhang, Z., Lu, Q., Xu, H., Kong, F., Yu, Y.
  • Journal: Frontiers in Energy Research
  • Year: 2022
  • Volume: 10
  • Page: 992117
  • [Link to the article](This link is disabled.)

Edge-Assisted Intelligent Video Compression for Live Aerial Streaming

  • Authors: Liu, Z., Wang, M., Chen, F., Lu, Q.
  • Journal: IEEE Transactions on Green Communications and Networking
  • Year: 2022
  • Volume: 6
  • Issue: 3
  • Pages: 1613–1623
  • [Link to the article](This link is disabled.)

PEDR: Exploiting phase error drift range to detect full-model rogue access point attacks

  • Authors: Lu, Q., Li, S., Zhang, J., Jiang, R.
  • Journal: Computers and Security
  • Year: 2022
  • Volume: 114
  • Page: 102581
  • [Link to the article](This link is disabled.)