Awards and Achievements

• Received certificate of appreciation in attending the AI Immersive Day and demonstrating commitment to advancing knowledge in the field of Artificial Intelligence, TCS APEX FDP AI Immersive Day- 04th Feb 2026.
• Contributed as a reviewer in International Conference on Recent Innovations in Engineering science & Technology- (ICRIET-2025)” organized by K S Institute of Technology Bengaluru during 9th and 10th May 2025
• Received Appreciation for chairing a session in 3^rd IEEE International Conference on “Intelligent and Innovative Technologies in Computing, Electrical and Electronics” ICIITCEE-2024, organized by Department of ECE & EEE, BNMIT, Bengaluru, during 16th and 17th January 2025.
• Received certificate of appreciation in contribution and mentorship support in delivering the outcome for the Project “AI assisted Software Engineering”.
• Received certificate of excellence from Samsung Prism for the worklet Create ASN decoder after parsing 38.331 and 36.331.
• Letter of Appreciation , “Academic Performance” – BNMIT for the year 2022-23 and 2023-24.
• Awarded ” Certificate of Appreciation ” from Samsung R&D Institute India for successfully mentoring students to complete worklet Create ASN decoder after parsing 38.331 and 36.331 project from June 2023 to March 2024.
• Organized a one-day workshop on “Blockchain Technology & its Applications” on 16th May 2023 conducted under Institution of Engineers student Chapter.
• Received appreciation for evaluating ideas presented in Internal – KAVACH 2023 Cybersecurity Hackathon conducted by Department of AIML on 11^th April 2023.
• Organizer for five days ATAL FDP on “Machine Learning in Infotainment Systems” from 13th to 17th December 2021.
• Organizer for ATAL FDP on “BlockChain and its Use cases” from 18th Jan 2021 to 22nd Jan 2021.
• Received appreciation as Primary Evaluator in Toycathan 2021 conducted by Ministry of education innovation cell, government of India.
• Received appreciation for conduction of Skill Development Program on Computer Networks from 29/7/2020 to 17/8/2020.
• Organizer for two days National level workshop on “Mobile control Robotics” from 15th to 16th February 2019, conducted by Revert Technology Pvt. Ltd. & Finland Labs at BNMIT

Invited Talks Delivered

• Delivered a Talk on Refresher Course (ONLINE MODE) on the theme of AI, Computational Intelligence and Security on 22 Nov 2023.
• Delivered a Talk on “Wireshark and open SSL” under webinar series ON “Cyber Security and Related Technologies” on 8 Dec 2020.
• Delivered a Talk on “Data Science Using Python” for students organized by Annapoorna college of Engineering, Salem on November 29^th and 30^th 2025

Academic Positions and other Responsibilities (University Level)

• NIL

Academic Positions and other Responsibilities (Institute and Department Level)

Institute Level

• SPOC for Infosys Springboard.
• SPOC for e-Yantra lab set up initative
• Research Advisory Board Member.
• Google Developer Student Club- Faculty Advisor for the period 2023-2024.
• Nexus club coordinator from 2024-25 to till date.

Department Level

• BOS member
• NBA Coordinator
• Counsellor
• Research coordinator for Information science & Engineering Department, BNM Institute of Technology
• Google Developer Student Club- Faculty Advisor.
• Research coordinator for Information science & Engineering Department, BNM Institute of Technology
• Department NBA Coordinator –September 2022-till date
• Department IE Coordinator- March 2023-Till Date
• Department NGO Coordinator- February 2023- Till Date
• Department BITES Coordinator- September 2022-till date

Reviewer at National/International Conference/Seminars

• Reviewer at IEEE International Conference on Intelligent and Innovative Technologies in Computing.
• Reviewer at CMC Computers, Materials & Continua, Technical science Press.

Professional Memberships

• The Indian Society for Technical Education (ISTE) Life Member – LM133051
• The Institute of Engineers (India) Associate Member-AM1942916

Other Responsibilities

• Department NBA Criterion 4 in charge
• Department NAAC Criterion 5 in charge.
• Department level ERP Coordinator.

Expertise/Subjects handled

Under Graduate:

• Application Development using Python
• Python Application Programming
• Software Testing
• Computer Networks
• Management and Entrepreneurship
• Management Information systems
• Software Architecture
• Discrete Mathematical Structures
• Information and Network Security

Research Interest:

• Wireless Networks
• IoT security
• Deep Learning

Patents

• Filed and Published a Design patent on “Smart Cradle for Baby Monitoring” on 6/4/2024, Patent no.  412816-001 
• Filed and Published a Design patent on “Controller for Electronic Device” on 5/11/2023, Patent no.  399245-001

Funded Projects:

• Guided a funded project “Drones in Forest Fire Mitigation” by IEDC, DST, Govt. of India, 2023-2024.

Journals

• Medam Naga Akshai, Saif Ali Zaidi, Dr.Jagruthi H, “Review On Inventory Management With RFID”, International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.e470-e474, May-2024. https://www.jetir.org/papers/JETIR2405454.pdf
• R Mohit Sai Reddy, Sharath B, Dr.Jagruthi H, “Gesture And Voice Recognition System Using Deep Learning To Control Iot Applications: A Literature Survey”, International Journal for Research Trends and n (ijrti.org), ISSN: 2456-3315, Volume 9, Issue 5, page no.263-267, May-2024. https://www.ijrti.org/papers/IJRTI2405039.pdf
• BG Sanchita, Druthi K N, Jagruthi H, “Ensemble Deep Learning Model for Heart Failure Prediction from Real Healthcare Records”, International Scientific Journal of Engineering and Management (ISJEM) ISSN:2583-6129, (May-June 2024), Impact Factor: 6.674. DOI:10.55041/ISJEM01702
• Avinash Rajendra Deshpande, Tarun Prabhu, Dr. Jagruthi H, “Enhancing DDoS Detection and Mitigation in Software-Defined Networks: A Literature Survey”, International Journal for Research Trends and Innovation May 2024, ISSN No: 2456-3315, Impact Factor: 8.14. http://www.ijrti.org/papers/IJRTI2405038.pdf
• Lalitha, Jagruthi H, Laxmi V, Dibyhash Bordoloi, N. Alangudi Balaji, Ramesh Singh Rawat, “Use Of Machine Learning And Deep Learning Techniques To Predict Cases Of Hospitalizations Caused By Dengue”, 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, 2023, pp. 1-7, doi: 10.1109/ACCAI58221.2023.10199840.
• Mekala K, Laxmi V, Jagruthi H, Shiv Ashish Dhondiyal, Sridevi.R , Amar Prakash Dabral, “Coffee Price Prediction: An Application Of Cnn-Blstm Neural Networks”, 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, 2023, pp. 1-7, doi: 10.1109/ACCAI58221.2023.10199369.
• Y. Nayak, Vaishnavi. G. Rao and Jagruthi. H, “Drones in Forest Fire Mitigation”2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Tenerife, Canary Islands, Spain, 2023, pp. 1-7, doi: 10.1109/ICECCME57830.2023.10252566.
• Lalitha, Jagruthi H, Laxmi V, Dibyhash Bordoloi, N. Alangudi Balaji, Ramesh Singh Rawat, “Use Of Machine Learning And Deep Learning Techniques To Predict Cases Of Hospitalizations Caused By Dengue”, 2023 International Conference on Advances in Computing, Communication and Applied Informatics (ACCAI), Chennai, India, 2023, pp. 1-7, doi: 10.1109/ACCAI58221.2023.10199840.
• Deepashri D, L S Dirick, Dr.Jagruthi H., “A QUALITATIVE ANALYSIS OF ML METHOD IN FRUITS ADULTERY AND FOCUS ON FRUIT ADULTERATION DETECTION”, International Journal of Research and Analytical Reviews (IJRAR) UGC Approved – Journal No: 43602 & 7.17 Impact Factor Volume 10 Issue 2 May 2023, Date of Publication: 22-May-2023.
• Likith Gowda S, Rini Sharma, Dr. Jagruthi H, “ANOMALY DETECTION IN NETWORK TRAFFIC USING DEEP LEARNING TECHNIQUES”, Journal of Emerging Technologies and Innovative Research (JETIR)  UGC Approved (Journal No:63975) & 7.95 Impact Factor Published in Volume 10 Issue 5, May-2023 | Date of Publication: 2023-05-23.
• Likhith N.G, Uzair Alam, Dr. Jagruthi H, “LEUKEMIA CANCER DETECTION USING DEEP LEARNING” in International Research Journal Of Modernization In Engineering Technology And Science (IRJMETS), Volume 05, Issue 05, May 2023.
• Jagruthi.H, Dr. Kavitha.C and Manjunath Mulimani “Network Intrusion Detection using Fusion Features and Convolutional Bidirectional Recurrent Neural Network”, published in International Journal of Computer Applications in Technology, Published Online: October 6, 2022 pp 93-100. https://doi.org/10.1504/IJCAT.2022.126095. H-Index 27, ISSN 1741-5047 Q3 SJR 0.29. Scopus Indexed Journal/Q3.
• Adithya M, Jagruthi H, Raghavendran R, Rajat M Jain., “VIDEO SEARCH USING SCENE ANALYSIS” , Journal of Huazhong University of Science and Technology VOLUME 50 ISSUE 07 – 2021, ISSN-1671-4512. Scopus/6.2/Q4.
• Jagruthi H, Aishwarya A, Jatin Rajpal, Kaushal Kumar, Rakshitha K R, “Chest Disease Prediction of 14 class Disease Using Deep Convolutional Neural Network ” , Journal of Huazhong University of Science and Technology VOLUME 50 ISSUE 07 – 2021, ISSN-1671-4512. Scopus/6.2/Q4.
• Published a paper entitled “Defense System against Application Layer DDoS attacks with Data Security”, International Research Journal of Engineering and Technology (IRJET),Volume 6(6), e-ISSN:2395-0056 p-ISSN:2395-0072, June 2019.
• Published a paper entitled “Authorship Attribution using Stylometry”, International Research Journal of Engineering and Technology (IRJET),Volume 5(5), e-ISSN:2395-0056 p-ISSN:2395-0072,May 2018.
• Published a paper entitled “Integration of WSN with IOT: A Review on Security Issues”, International Journal of innovative Research in Science, Engineering and Technology ISSN: 2319-8753, Volume-7, Issue-5, May-2018.
• Published a paper entitled “Intrusion detection for wormhole attack” International Research Journal of Engineering and Technology (IRJET),Volume 7, e-ISSN:2395-0056 p-ISSN:2395-0072, Issue 8, August 2020.

Conference

• Received Appreciation for chairing a session in 4^th IEEE International Conference on “Intelligent and Innovative Technologies in Computing, Electrical and Electronics” ICIITCEE-2025, organized by Department of ECE & EEE, BNMIT, Bengaluru, during 22^nd and 23^rd January 2026.
• Contributed as a reviewer in International Conference on Recent Innovations in Engineering science & Technology- (ICRIET-2025)” organized by K S Institute of Technology Bengaluru during 9th and 10th May 202
• Received Appreciation for chairing a session in 3^rd IEEE International Conference on “Intelligent and Innovative Technologies in Computing, Electrical and Electronics” ICIITCEE-2024, organized by Department of ECE & EEE, BNMIT, Bengaluru, during 16th and 17th January 2025.
• Contributed as a reviewer for 3rd IEEE International Conference on Intelligent and Innovative Technology Computing, Electrical and Electronics organized by BNMIT Bengaluru during 16th and 17th January 2025.
• Kaushal A N, Karthik N G, Prajwal Harish, Jagruthi H, “Automated Parsing and Comparative Analysis of ASN.1 Structures in 3GPP Standards”, 2025 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics- ICIITCEE2025, 16^th and 17^th January organized by BNM Institute of Technology, Bangalore.
• Laxmi V, Jagruthi H, Srilatha Chahna Nallamalli, Akanksha Tiwari, “Intelligent Art Transformation using Conditional GANs for Image Classification, Sketch-to-Image Synthesis and Object Detection”, International conference on computing and Intelligent Information Systems- ICCIIS-2024, 19^th and 20^th April 2024 organized by BNM Institute of Technology, Bangalore. https://doi.org/10.1201/9781003565024
• Lalitha, Jagruthi H, Laxmi V, Dibyhash Bordoloi, N. Alangudi Balaji, Ramesh Singh Rawat, “Use Of Machine Learning And Deep Learning Techniques To Predict Cases Of Hospitalizations Caused By Dengue”, IEEE Conference on Advances in computing, communication, and Applied Informatics-ACCAI2023, 25^th and 26^th May 2023 organized by St. Joseph’s College of Engineering, Chennai, India.
• Mekala K, Laxmi V, Jagruthi H, Shiv Ashish Dhondiyal, Sridevi.R , Amar Prakash Dabral, “Coffee Price Prediction: An Application Of Cnn-Blstm Neural Networks”, IEEE Conference on Advances in computing , communication, and Applied Informatics-ACCAI2023, 25^th and 26^th May 2023 organized by Joseph’s College of Engineering, Chennai, India.
• Vaishnavi G Rao, Vaishnavi Y Nayak, Dr. Jagruthi H, “Drones in Forest Fire Mitigation” is accepted in the 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME 2023) organized by Tenerife- Canary Islands Spain.
• Jagruthi. H, Dr. Kavitha.C, presented a paper entitled “A Novel framework for NIDS using Stacked Ensemble Learning” at the International Conference on Soft Computing for Security Applications(ICSCS-2021) organized by Dhirajlal Gandhi College of Technology, Salem, India during 10-11, June 2021.
• Jagruthi.H, Dr. Kavitha.C, presented a paper entitled “Analysis and evaluation of Machine learning classifiers for IoT Attack Dataset” at International Conference on Machine Learning and Autonomous Systems (ICMLAS-2021) organized by Rohini college of engineering & Technology, Tamilnadu, India on 24-25th September 2021.
• Presented a paper entitled “Secure and efficient data sharing and retrieving in cloud storage”, 3rd national Conference on Emerging trends in Electronics and communication Engineering (NCETEC-16) on 4th May 2016, BGSIT, Bellur.
• Presented a paper entitled “Forecasting of Rainfall using Predictive Analytics over India”, National conference on recent trends in Electronics and communication engineering, NHCE, Bangalore.
• Presented a paper entitled “Security architecture for insider Threat: A Survey”, National Conference on Recent trends in computer science and engineering, SBMJCE (Jain university), kanakapura.
• Presented a paper entitled “Defense measures for cyber attacks in power control systems”, 7th National Conference on Recent trends in computer science and engineering, SJBIT, Bangalore.

Book / Book Chapters

• H Jagruthi, C Kavitha “A Novel Framework for NIDS Using Stacked Ensemble Learning” © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022 G. Ranganathan et al. (eds.), Soft Computing for Security Applications, Advances in Intelligent Systems and Computing 1397, https://doi.org/10.1007/978-981-16-5301-8_9.
• Jagruthi, H., Kavitha, C. (2022). Analysis and Evaluation of Machine Learning Classifiers for IoT Attack Dataset. In: Chen, J.IZ., Wang, H., Du, KL., Suma, V. (eds) Machine Learning and Autonomous Systems. Smart Innovation, Systems and Technologies, vol 269. Springer, Singapore. https://doi.org/10.1007/978-981-16-7996-4_34.

Hobbies

• Cooking
• Listening to music
• Travelling
• Trekking
• Gardening