Naresh E | Intrusion Detection | Best Researcher Award

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

 

Ms. Sharmila B S | Intrusion Detection and Prevention | Women Researcher Award

Ms. Sharmila B S | Intrusion Detection and Prevention | Women Researcher Award

Assistant Professor at Intrusion Detection and Prevention, The National Institute of Engineering, Mysuru, India

Sharmila B S is currently pursuing a Ph.D. focusing on Network Security for IoT devices. Their research interests primarily lie in Network Security, Internet of Things (IoT), and Artificial Intelligence (AI). With 7 years of combined teaching and industry experience, Sharmila has also delivered talks on Python, AI, and IoT for technical talks and workshops.

Professional profiles

šŸŽ“Education:

Sharmila B S completed their academic qualifications as follows: a Ph.D. from the Department of ECE at the National Institute of Engineering, Mysuru, under Visweshwaraiah Technological University in 2018; an MTech in VLSI Design & Embedded Systems from SJCE, Mysore; and a BE in E&C from Kalpataru Institute of Technology, Tiptur, both under Visweshwaraiah Technological University, obtained in 2013 and 2011 respectively.

šŸ‘©ā€šŸ«Professional Experience:

Sharmila B S has professional experience as an Assistant Professor at the National Institute of Engineering, Mysuru, from July 25, 2016, to the present. Prior to this, they worked as a Lecturer at the same institute from July 27, 2015, to June 26, 2016. Before joining the National Institute of Engineering, Sharmila was an Assistant Professor at PESITM, Shivamogga, from July 21, 2014, to June 30, 2015. They also have internship experience at LG Soft India, Bangalore, from July 11, 2012, to December 31, 2013.

Subjects Taught:

Sharmila B S has taught a range of subjects, including Internet of Things, Data Structures using C++, Information Theory and Network Security, Embedded Systems, and Fundamentals of CMOS VLSI.

Publications:

“Intrusion Detection System using Naive Bayes algorithm” by BS Sharmila, R Nagapadma, published in the 2019 IEEE International WIE Conference on Electrical and Computer, with 24 citations in 2019.

“Comparison of time complexity in median filtering on multi-core architecture” by BS Sharmila, N Kaulgud, published in the 2017 3rd International Conference on Advances in Computing, Communication, with 2 citations in 2017.

“Multi Core DNN based IDS for Botnet Attacks using KPCA Reduction Techniques” by BS Sharmila, R Nagapadma, published in 2021.

“Design of memristor based multiplier” by N Jagan, U NS, S Kouser, published in the International Research Journal of Engineering and Technology, 6(1), 2019.

“Optimizing Deep Learning Networks for Edge Devices with an Instance of Skin Cancer and Corn Leaf Disease Dataset” by BS Sharmila, HS Santhosh, S Parameshwara, MS Swamy, WH Baig, published in SN Computer Science, 4(6), 793, 2023.

“QAE-IDS: DDoS anomaly detection in IoT devices using Post-Quantization Training” by BS Sharmila, R Nagapadma, published in Smart Science, 11(4), 774-789, 2023.

“Quantized autoencoder (QAE) intrusion detection system for anomaly detection in resource-constrained IoT devices using RT-IoT2022 dataset” by BS Sharmila, R Nagapadma, published in Cybersecurity, 6(1), 41, 2023.

“Pā€DNN: Parallel DNN based IDS framework for the detection of IoT vulnerabilities” by S BS, R Nagapadma, published in Security and Privacy, e330, 2023.

“KNN classification using multi-core architecture for intrusion detection system” by BS Sharmila, R Nagapadma, published in the Communication and Computing Systems: Proceedings of the 2nd International Conference.