Nitte AI & ML Department - Top AI Engineering College

Bachelor of Technology in Artificial Intelligence & Machine Learning equips students with the skills and knowledge required to analyse, design and control intelligent systems.The main objective of offering this program is developing professionals who are skilled in the area of AI & ML. This program enables students to gain in-depth understanding of fundamental subjects in Computer Science and deals with technologies like image processing, machine learning, natural language processing, neural networks, deep learning, reinforcement learning and big data analytics. This course is designed for both academic and skill based education to create a bright career for the students

Centre of Excellence in AI and ML is equipped with the latest computers and state of the art amenities facilitating research work and projects for the students and research scholars in addition to regular curricular activities.

Scope and Opportunities

Machine Learning is one of the fastest-growing fields in the technical sector. Enormous modern Industries require the expertise of skilled Artificial Intelligence professionals to expand the scope of Artificial Intelligence into many sectors, including healthcare, transport, security, gaming, voice recognition technologies, smart systems , finance, promotional network development, customer support, prediction and analytics, search engines, product recommendations, fraud detection and many more. Artificial Intelligence has found a very special place in people’s homes as Smart Home Assistants. Computer Engineers and Scientists are striving relentlessly to impart intelligent behaviour in the machines making them think and respond to real-time situations.

Up-skilling is a default part of any career. In the IT industry, learning new skills has become mandatory to stay with the competition. In this aspect, Artificial Intelligence (AI) and Machine Learning (ML) are the best choices for an excellent career in a world which is relying on data. The data-driven operations adopted by almost every industry enhances career options of well-trained professionals.

Amidst all the commotion that AI may replace redundant job roles with automation and smart devices, we are yet to reach the stage where machines would take over our everyday life. So, if you are an AI& ML aspirant looking for a job in the industry, opportunities are aplenty.

The students have opportunities to be recruited by reputed industries like Microsoft, Amazon, Google, Nutanix, Oracle,Cisco, Dell Technologies, Accenture,Informatica, Sony India, Juniper, Commvault, Allegion, Avysh, Cohesity, Clover Bay Technologies, Tismo Technologies, Hashedin, VmWare and many more.
Graduates from the AI& ML program can pursue higher education and research at premier national or international universities with a great scope even in the research field.
With a huge reliance on data driven applications, a career in the field of AI & ML can be very promising as Big Data Engineer, Data Scientist, Machine Learning Engineer, Research Scientist, AI Data Analyst, Data warehouse Engineer, Business Intelligence Developer, AI Engineer, Full stack developer, software Architect, Product Manager, Front end Developer, Robotics Scientist, etc.

Program Specific Outcomes (PSOs)

PSO 1: Apply the knowledge of mathematics, science and engineering fundamentals in solving the problems in the field of Computer Science and Artificial Intelligence.
PSO2: Understand, analyse and develop computer based programs and apply the domain knowledge to provide novel solutions to the existing problems in the discipline.

Syllabus - Autonomous Scheme

Third Year

Fourth Year

Syllabus - NDU

2022-2026

2023-2027

Laboratories

AI Skills Lab

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About the Program:

Intel, in collaboration with Dell Technologies, has launched the Digital Readiness Program at NMAM Institute of Technology. Aligned with Intel's RISE 2030 strategies for a responsible and inclusive future, the program focuses on AI for Youth. It provides immersive learning experiences, covering social and technical skills, with courses on Machine Learning, Computer Vision, Natural Language Processing, and AI Ethics. Intel supports faculty training, lab development, and the provision of cutting-edge systems for hands-on AI development. The AI Skills lab, equipped with Dell workstations featuring Intel's 12th gen i7 processor and NVIDIA T1000 8GB graphics card, enables students to undertake complex projects, fostering a practical understanding of AI. A total of 38 high-performance 3660 Tower workstations have been procured under an official agreement, emphasizing Intel's commitment to expanding digital access and readiness globally.

Program Goals, Design and Skill set:

The Intel AI for Youth program is structured into four phases: Inspire, Acquire, Experience, and Empower. The Inspire phase introduces students to the world of AI, highlighting its potential to address real-world issues. The Acquire phase establishes a strong foundation in AI concepts and technologies, while the Experience phase provides hands-on experience in constructing AI models and applications. The Empower phase offers students the opportunity to engage in real-world AI projects, gaining practical experience. The syllabus introduces learners to three domains of AI – Data, Computer Vision, and Natural Language

Curriculum Integration:

- Development of a curriculum tailored to industry standards and requirements.
- Inclusion of real-world case studies and projects to enhance practical skills.
- Curriculum may span from 40 hrs of elective to 230+ hrs of course on AI.

Infrastructure Setup:

Provision of state-of-the-art hardware and software for the AI Skill Lab.
Installation of high-performance computing systems and AI development tools.

Training Programs:

Conducting specialized training sessions for faculty members to ensure effective knowledge transfer.
Arranging workshops and webinars featuring experts from Dell Technologies.

Industry Exposure:

Facilitating interactions between students and professionals from Dell Technologies through mentorship programs and guest lectures.
Providing internship opportunities for students to gain practical industry experience.

Certification by Intel:

Upon successfully completing the course, students will be tasked with a Capstone Project designed to make a meaningful social impact. Following the project's successful execution and a thorough evaluation by Intel's expert panel, students will be conferred with a certification in AI, validating their proficiency and accomplishments in the field. 6. Hackathon Participation: Students can participate in international hackathons conducted by Dell and get opportunities to get an internship in Dell Technologies.

Workstation Specifications:

Lab is equipped with 38 Dell Precision 3660 Tower Workstations.

Processor: 12th Gen Intel(R) Core (TM) i7-12700 Upto 4.9GHz

RAM: 32GB DDR5 4400MHz

Graphic Card: NVidia T1000 16GB

Memory: m.2 512gb SSD

OS: Windows 11 Pro 22H2

Glimpses of Inaugural Programme:

The highlight of the event is the grand inauguration of the AI Skills lab, a collaborative effort with visionaries like Intel and Dell Technologies in partnership with the Artificial Intelligence and Machine Learning Department—specializing in AI technologies. Mr. Vivekananda Manjeri, Director of Client Solutions at Dell Technologies, and Mr. Santosh Banerjee from Dell Technologies spearheaded the inauguration. They were joined by esteemed guests, Dr. Udaya Kumar K Shenoy, Dean of Research and Development at Canara Engineering College. Dr. Niranjan N Chiplunkar, Principal of NMAMIT Nitte, Dr. Sharada U Shenoy, Head of the Department of Artificial Intelligence and Machine Learning Engineering at NMAMIT, Nitte, Mrs. Disha D N, Single Point of Contact -Intel AI for Youth, Department of Artificial Intelligence and Machine Learning, NMAMIT, Nitte, together, marked the commencement of an exciting chapter in advancing AI education and skills at our institution. Mr. Sharoon S. Manipur - Sr. Sales Consultant, Orchids Network & Systems (I) Pvt Ltd and Mr. Ravi Konila - Sr. Technical Consultant, Mr. Yogeesh Hegde, Director (CM &D) , Dr I R Mithanthaya, Vice Principal, Dean (Academics), NMAMIT, Nitte, graced the occasion by their presence. The event was well attended by the Deans, HoDs, faculty from various departments and students of AIML.

For any information regarding the admissions,mail us at: info@nitte.edu.in

Faculty

Dr. SHARADA U SHENOY

Professor & Head

Mr. SUDESH RAO

Assistant Professor Gd.II

Mr. SUDESH RAO

DesignationAssistant Professor Gd.II
Email sudesh.rao@nitte.edu.in
Joining date 02-08-2021

B. E in Computer Science and Engineering from Moodlakatte Institute of Technology ,Kundapura
M.Tech in Computer Science and Engineering from Srinivas School of Engineering ,Mukka
Ph.D pursuing

5 years Experience as Assistant Professor in the Department of Computer Science and Engineering, SSE, Mangalore.
1 Year of experience as Assistant Professor in RNSIT, Bangalore.
7 Months of experience as Assistant Software Specialist in Manipal University, Manipal.
2 years and 6 Months of work experience as a Lecturer in PPC Udupi.

Data Mining
Machine Learning.
Web Programming

C Programming
C++ with Object Oriented Concepts
Java Programming
System Software
Data Structure
Database management System

Published paper on, "A survey paper on a novel approach for forecasting health care using data mining ", International Journal, IJSREM , Volume 5, Issue 6 June 2021.
Published paper on, "Smart Reader for Visually Impaired ", International Journal, IEEE Xplore, Volume 7 Issue 4 April 2020
Published paper on, "Painting style of texture for virtual Dressing room using convolutional Neural Network", International Journal, IRJET, Volume 7 Issue 4 April 2020
Published paper on, "Computerized video Surveillance gadget for pedestrian crossing the use of Digital Image Processing", International Journal, IRJET, Volume 7 Issue 4 April 2020
Published paper on "Survivelence of Rouge Wild Animals Using Image Processing and IOT" at ICAIT-2019, IEEE International Conference, Adichunchanagiri Institute of Technology, Chikkamagaluru during 25-27 July 2019.
Published paper on " Novel Approach in revolting wild animals from farmland using image Processing" International Journal , IRJEM, Volume 3, Issue 5 May 2019.
Published paper on "Airplane Crash Analysis using LDA", International Journal ,IRJET. Volume 5 issue 4 April 2018.
Published paper on "A Novel Approach For Prediction Of Diabetes Using Genetic Algorithm", International Journal, IJAER. January 2016.
Published a paper on " Implementation of Speedup authentication protocol for VANET" , in International Journal , IJARCSSE, Volume 5 , issue 4 , April 2015
Presented a paper on "Novel approach to predict the diabetes of our future generations by using GA", at MANEGMA 2015, National Conference, SIMS Mangalore on April 23 2015.
Presented a paper on "Applying Data Mining Technique and genetic algorithm to predict the diabetes of our future generation" at National Seminar, Vivekananda College, Puttur on Dec 17, 2014.
Presented a paper on "Applying Data Mining Technique to predict the diabetes of our future generation "at ISRACE, International Conference, Bangalore on Oct 31, 2014.

Ms. DISHA D N

Assistant Professor Gd.II

Ms. DISHA D N

DesignationAssistant Professor Gd.II
Email disha.dn@nitte.edu.in
Joining date 13-09-2021

BE- (Computer Science and Engineering), MITE, Moodabidri -2014
M.Tech-(Computer Science and Engineering), M S Ramaiah Institute of Technology, Bangalore - 2016
PhD (Machine learning) pursuing - (2018 registered)

4 years of Teaching Experience as an Assistant Professor at Nitte Meenakshi Institute of Technology, Bangalore
1 Years of Teaching Experience as an Assistant Professor at RNS Institute of Technology Bangalore
1 Year of Industry Experience at Hewlett Packard Enterprise (HPE), Bangalore

Machine Learning
Deep Learning
Artificial Intelligence
Image Processing
Social Network Analysis

Gold Medallist in M. Tech (2016) at M S Ramaiah Institute of Technology
Gold Medallist in B. E (2014) at MITE, Mangalore
Academic Excellence certificate at MSRIT, Bangalore

Data Mining
Bigdata
Database Management System
Advances in Database Management System
Analysis and Design of Algorithms
Operating Systems
Computer Graphics and Visualization

Disha D N, Dr. Seema S, Dr. Aditya Shastry, "Prediction and Detection of Autism spectrum Disorder by using machine learning Algorithms", inICETE- AIDE-2020, SPRINGER Publication 2020
Bhavyashree Nayak, Priyanaka S, Raksha Rao, Saloni, Disha D N, Swarnalatha K S, "GEO-FENCING BASED ACCIDENT-AVOIDANCE NOTIFICATION FOR ROAD SAFETY" in Proceedings of FifthInternational Conference on 'Emerging Research in Computing, Information, Communication and Applications', SPRINGER publications (ERCICA-2018)
Disha D. N, Sowmya B J, Chethan Shetty and Dr. Seema S, "An Efficient Framework of Data Mining and its Analytics on Massive Streams of Big data Repositories", presented in an "International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics (DISCOVER 2016) during 13-14 August 2016, NITK Surathkal, IEEE publications"
Disha D. N, Chethana H R, "Deduplication in cloud computing using Hybrid Cloud", published in an International Journal of Computer Science and Engineering (IJCSE), ISSN: 2278-9979, Volume 6, Issue 2, 2017, Impact Factor(JCC)-2016:4.6723; NAAS rating 3.17
Disha D N, Rachana N B, Deepika Kumari, Nidhi, "Phishing and Anti-phishing: A review", published in IJERT on 2016

Coursera certificate on "Hadoop Platform and Application Framework" -01/02/2021
Coursera certificate on "Programming for Everybody (Getting Started with Python)"-05/18/2020

Mr. MAHESH B L

Assistant Professor Gd-II

Mr. MAHESH B L

DesignationAssistant Professor Gd-II
Email mahesh.bl@nitte.edu.in
Joining date 25-07-2022

Master of Technology in “Computer Science and Information Security(CSIS)” from Manipal Institute of Technology (A constituent institute of Manipal University), Manipal, Karnataka-2013.
Bachelor of Engineering in “Computer Science (CSE)” from Canara Engineering College (Affiliated to VTU Belagavi), Benjanapadavu, Bantwal, Karnataka – 2010.

Worked as an Assistant Professor for 4 years at Y.I.T. (Yenepoya Institute of Technology, Moodbidri) affiliated to VTU, Belagavi.(2018-2022)
Worked as an Assistant Professor for 4 years and 10 months at V.C.E.T. (Vivekananda College of Engineering and Technology, Puttur) affiliated to VTU, Belagavi.(2013-2018)
Worked as a Lecturer for 10 months at M.I.T.E. (Mangalore Institute of Technology and Engineering, Moodbidri) affiliated to VTU, Belagavi.(2010-2011)

Artificial Intelligence
Machine Learning

Life Member of Indian Society for Technical Education (ISTE).

Object Oriented Programming with C++
Graph Theory & Combinatorics
Design and Analysis of Algorithms
Analog and Digital Electronics
Operating Systems
Database Management System
Computer Networks
Operations Research
File Structures
Data Mining
System Modelling and Simulation
Decision Support Systems
C# & .NET
JAVA and J2EE
Automata Theory and Computability
Microcontrollers and Embedded Systems

Worked as an Intern at "LSI India Research and Development Private Limited" in the Test Automation team to carry out M.Tech Project work (2012-2013).
Successfully completed Mission10X-UTLP practitioner training program conducted at Wipro technologies, Bangalore during January 2014.
Participated in the Faculty Enablement Program conducted by Infosys Limited, Mangalore during December 2014.
Guided a project titled "Smart Trading" which got selected by KSCST for the final evaluation in the year 2015.
Successfully completed the course "Data Mining" offered by NPTEL in the year 2018.
Participated in the Faculty Development Program on "Emotional Intelligence" conducted by ICT academy during July 2018.

Ms. SWATHI PAI M

Assistant Professor Gd-II

Ms. SWATHI PAI M

DesignationAssistant Professor Gd-II
Email swathi.pai@nitte.edu.in
Joining date 03-07-2023

B.E
M.Tech
Ph.D (Pursuing)

July 2023 - NMAM Institute of Technology - Assistant Professor Gd.-I
August’22 to June 2023 Presidency University -Assistant Professor
August’19 to August’ 22 Reva University -Assistant Professor
Since July’16 to July’19 NMAM Institute of Technology, Nitte, Udupi- Assistant Professor

Successfully Completed Online Certification courses on:

Database Management System (NPTEL 8-week course)
Data mining (NPTEL 8-week course)
Python for Data Science (NPTEL 4-week course)
Converting Challenges into Opportunities (COURSERA)

Five Day Faculty Development Program on "Inculcating Universal Human Values in Technical Education" organized by All India Council for Technical Education (AICTE).
Five Day Faculty Development Program on "Advanced Excel with data Visualization" organized by E & ICT Academy, IIT Kanpur.
Five days Virtual Faculty Development Program on "Neural Networks and Deep Learning using Python" organized by Reva University, Bangalore.
Six days' workshop on "Enhancing Information Technology Education" Organized by National Institute of Technology, Goa.
Five Day faculty development program on "Data Science and Big Data Analytics" conducted by ICT academy at NMAMIT, Nitte.

Papers Published

Published the paper titled "Performance Evaluation Classification Scheme based on Machine Learning to identify Productive and Skillful Workers " in International Journal of Acta Biomedica (Q2 Journal) -2023
Published the Book Chapter titled "Deep Learning- Based Automatic Student Authentication" in Aiding Forensic Investigation Through Deep Learning and Machine Learning Frameworks -2022
Presented the paper titled "Internet Of Things: A Survey on Devices, Ecosystem, Components and Communication Protocols" in proceedings of International Conference on Electronics, Communication and Aerospace Technology (IEEE Xplore Inclusion) -2022
Presented the paper titled "Diminishing the Earliness and Tardiness of AGV using PSBCSP Algorithm" in International Journal of Mechanical and Production Engineering Research and Development-2020
Presented the paper titled "SMITHA: Scalable Modular Interconnect for Three Dimension High Performance Applications - A 3D topology for NoC based systems" in proceedings of International Conference on Inventive Communication and Computational Technologies in 2019.
Presented the paper titled "Estimation of Critical Virtual Water for Irrigation to Avoid Crop Loss" in proceedings of International Journal of Engineering and Technology in 2018.
Presented the paper titled "Big Data Analytics based Security Architecture to detect Intrusions" in proceedings for National Joint Conference on Innovations in Engineering and Technology NJCIET - 2015.
Presented the paper titled "Big Data Security Analytic: A classification technique for Intrusion Detection System" in proceedings for International Conference on Emerging Trends in Engineering and Technology ICET - 2015

Patents Published

An IOT Based Monitoring and Control System for Smart Bins in Urban Areas-2023 (Filed)
A Novel Data Mining and Machine Learning-Based Framework for Cyber Security Intrusion Detection-2022(Published)
IOT based smart lighting system for five different studios typed smart houses-2021(Published)
Big Data for secure email spam filtering-2021(Published)

Ms. SNEHA SHETTY R

Assistant Professor Gd-II

Ms. SMITHA

Assistant Professor Gd-II

Ms. SMITHA

DesignationAssistant Professor Gd-II
Email smitha.rai@nitte.edu.in
Joining date 18-09-2023

Ph. D –Registered in VTU -2021 (Speech Signal Processing , Deep Learning)
M.Tech- NMAMIT, Nitte -VTU-2018
AMIE – The Institution of Engineers (India) - 2015

Worked as Assistant Professor in Dept. of CSE at Yenepoya Institute of Technology, Moodbidri from 23rdJuly 2018 to 15th Sep 2023.
Worked as Lab Instructor in CSE department at SSE, Mukka from July 2011 to July 2015
Worked as guest Lecturer at Govt. I.T.I (W), Mangalore from August 2007 to July 2010.

Speech Signal Processing
Machine Learning
Deep Learning

Associate member of The Institution of Engineers (India).
Life Member of Indian Society for Technical Education

C Programming
Object Oriented Concepts
Operating Systems
Computer Networks
Database Management Systems
System Software and Compiler Design
Advanced Computer Architecture
Data Structures and its applications
Data Communication
Design and Analysis of Algorithms

Published a paper entitled "A survey on machine learning approaches for automatic detection of voice disorders" in Journal of Voice, 33(6), 947-e11.
Published a paper entitled "Classification of Healthy and Pathological Voices using MFCC and ANN" in 2018 Second International conference on Advances in Electronics, Computers and Communications (ICAECC 2018) IEEE, 2018 at Reva University, Bangalore
Presented a paper entitled "Evaluation of MFCC and LPC features in the discrimination of healthy and pathological voices" in 8th International Conference on Emerging Trends in Engineering (ICETE 2018) at NMAMIT, Nitte.

Ms. RAKSHITHA

Assistant Professor Gd-I

Ms. RAKSHITHA

DesignationAssistant Professor Gd-I
Email rakshitha.s@nitte.edu.in
Joining date 06-07-2022

BE- Shree Devi Institute Of Technology,Mangalore-VTU-2010
M.Tech- NMAMIT, Nitte -VTU-2017
Ph. D –Registered in VTU -2021 (Natural Language Processing, Deep Learning)

Worked as Assistant Professor at SJEC,Mangaluru from August 2021 to July 2022.
Worked as Assistant Professor at CMRIT,Bangalore from April 2018to May 2019.
Worked as Assistant Professor at Yenepoya Institute of Technology,Moodbidri from July 2015 to June 2017.
Worked as Lecturer in CSE department at Dr. M.V.Shetty Institute of Technology, Moodbidri from August 2010 to June 2015.

Natural Language Processing
Deep Learning

Life Member of Indian Society for Technical Education (ISTE).

Natural Language Processing
Data Mining and Data Warehousing
Clouds grids and Clusters
Cloud Computing
Computer Networks and Security
Web Technology and It's Applications
Software Testing
Logic Design
UNIX Shell Programming
Computer Concepts and C Programming
Computer Organization
System Software
Advanced Computer Architectures

Presented paper titled "A New Hybrid Symmetric-key Technique to Enhance Data Security of Textual Information using Random Number Generator" in IEEE Technically Sponsored International Conference on Smart Technologies for Smart Nation (SmartTechCon2017) on 17-19 August 2017 at REVA University, Bengaluru, India.
Published Paper titled "A New Hybrid Symmetric-key Technique to Enhance Data Security of Textual Information using Random Number Generator" in IEEE journal https://ieeexplore.ieee.org/document/8358602
A Paper titled "A Child-Left behind Warning System Using Capacitive Sensing Principle" published in International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE) Vol. 5, Issue 5, May 2017. DOI: 10.15680/IJIRCCE.2017. 0505138

Undergone training on Advanced Java and manual testing from Jspiders Bangalore.
Internship on Manual Testing for Educational domain web applications: Undergone 2 months of internship on 'Active Teach' E-learning web application from flagroot technologies, Bangalore.

Mr. ANIRUDHAN ADUKKATHAYAR C

Assistant Professor Gd-I

Mr. ANIRUDHAN ADUKKATHAYAR C

DesignationAssistant Professor Gd-I
Email anirudhan.c@nitte.edu.in
Joining date 01-08-2023

B.Tech in Computer Science and Engineering , College Of Engineering, Chengannur, Kerala, Cochin University of Science & Technology - 2014
M.Tech in Computer Science and Engineering , Vellore Institute of Technology (VIT), Vellore, Tamilnadu VIT University - 2016
Ph.D - pursuing

Assistant Professor, NMAMIT, Nitte University , May 2022 - 2023 July
Assistant Professor, St. Joseph Engineering college, Mangalore, May 2022 - 2023 ?July
Assistant Professor, College of Engineering Trikaripur , Kasargod, Kerala - from 2018

Presented and Published two papers at Cambridge university , London, July 2015
One among 50 young coders, across the globe, for Websummit 13 Europe, 2013
Participant of Ethical hacking and information Security workshop (Event hosted by IIT kanpur)
Participated in IEEEXTREME 5.0, an international 24 hour coding competition, 2013
Blackberry app developer, From 2012
Innoz 55444 Hackathon Winner, Bangalore, 2012
Blackberry Jam coder winner, Bangalore, 2012
Participant of Blackberry Jam Asia, Bangkok, 2012
Won Rajyapuraskar Scouting Award for Service ,awarded by Governor, 2006
Participated in State Level School IT Fest conducted by Kerala Government, 2007
3 Times national level PCM scholarship winner Proficiency Prize winner for academics at school level, 2001, 2002, 2003

Programming in C language
Object oriented programming using Java
Automata Theory and computability
Computer Graphics
Software architecture
Software Engineering
Cloud computing
Web application development
Mobile computing
Internet technology
Embedded systems
Ability enhancement Course - IoT

IoT training by CISCO certified professionals
Intellectual Property Rights
Cyber Security

RESEARCH & PUBLICATIONS

Advanced integrity checking and recovery using write-protected storage for enhancing operating system security - 10th International Conference on Computer Science & Education (ICCSE) at Fitzwilliam College, Cambridge University, UK, July 2015.

Secure Multi-factor Authentication Payment System Using NFC - 10th International Conference on Computer Science & Education (ICCSE) at Fitzwilliam College, Cambridge university, UK, July 2015.

Multiple Server Password Storing Scheme, - International SET Conference at VIT University ,Vellore , Tamilnadu, India, 2015.

Automatic Intrusion Detection System Approach for Bayes' Network using Cognitive Computing -AICTE sponsored 7th National conference on Networking, Imaging and Green computing, Agni College of Technology,Chennai , 2021

Ambient Descriptive Survey on Lexicon Based Sentiment Analysis in code switching - under Reviewing

RESOURCE PERSON / TECH TALKS DELIVERED

3 Days Skilling Program on IoT for ATAL lab teachers, 2023
2 Days Skilling Program on IoT for ATAL lab Students of Dakshina Kannada, 2023
One week training on C Programming - For Faculties of SJEC, 2022

PRIZE WON STUDENT PROJECTS UNDER MY GUIDANCE

Smart Health Monitoring system for pregnant women, Fourth prize, Karnataka Edition of Anveshana 2023
Intelligent Image Querying using NLP, Fifth Prize, SJEC Technova 2023

Mr. ARUN M KUDUR

Professor of Practice

Mr. ARUN M KUDUR

Designation Professor of Practice

Master’s degree in Information Technology from Harvard University
Bachelor’s degree in Electronics & Communications Engineering from the University of Mysore.

Director Of Engineering Athenahealth from Mar 2020 – to Present

Head Of Research, Tally Solutions Pvt Ltd, Bangalore Urban, Karnataka, India from Jan 2018 - Feb 2020

Reporting to the co-founder and CEO, established the research organization in Tally. Hired a great team of leaders and architects from all over the industry to design and develop the next generation platform to support Tally's business software and applications.

Director of Engineering, Cerner Corporation, Bengaluru, India from Dec 2014 - Jan 2018.

Engineering leader for the clinical suite of workflow applications supporting the Millennium EMR product. Instrumental in transforming the teams from an execution to a growth mindset.
Spearheaded several quality initiatives. Introduced a culture of developer driven automated testing. Simplified client experience, especially in the area of 3rd party software integration and accelerated the adoption of RESTful micro services. Established a security centre of excellence to perform both static and dynamic analysis of potential security threats in the EMR software.

Senior Software Development Manager, Cisco Systems, Bengaluru, India from Oct 2008 - Dec 2014

Managed the broadband subscriber session management portfolio on the ASR-1K and ASR-9K products. Played a key technical leadership role in developing intra-chassis high availability support for the broadband control plane. Successfully planned, managed and delivered a performance and scale initiative to terminate 2x number of broadband sessions with a proportional increase in the call setup rate. This was critical to Cisco's service provider business success in the EMEA region. Implemented RSVP for IPv6, co-authored a IETF draft for RSVP multi pre-emption.

Principal Software Engineer, Dell EMC, Greater Boston Area, USA from Jul 2007 - Sep 2008

Led the design and implementation of a C++ framework to support serialization of C++ objects over the wire. This was used by the CLARiiON storage management client to refresh its state from the server.

Senior Software Engineer, Nortel Networks, Greater Boston Area, USA from Jun 1999 - Sep 2007.

Implemented routing protocols and route policy controls on the Nortel's Contivity(R) IPSec VPN terminator. Contributed to various aspects of platform and infrastructure software, redesigned the static route module, enhanced VRRP to define a new switchover mechanism leading to a patent. Implemented routing protocols and route policy controls on the Nortel's Contivity(R) IPSec VPN terminator. Contributed to various aspects of platform and infrastructure software, designed the static route module, enhanced VRRP to define a new switchover mechanism leading to a patent.

Software Engineer, Nokia, Greater Boston Area, USA from Aug 1997 - Jun 1999.

Designed and implemented a distributed network management agent using SNMP.

Software Engineer, Siemens Communications Software, Bengaluru, India , Jul 1994 - Feb 1997.

Implemented a number of features for the Siemens EWSD, their digital telecommunications switch.
- Q3VAD (CCITT metadata definition language) compiler
- Generate readily compilable skeleton code from the operator's console in defining the structure of intra EWSD message format
- SNMP agent on the EWSD.

Software Engineer, Aspect, Bengaluru, India from Sep 1993 - Jun 1994

Developed software to support an electronic component catalogue.

Patents

Method and apparatus for defining failover events in a network device Method and apparatus for defining failover events in a network device US 7516202US 7516202.
Method for multicast distribution tree switch over Method for multicast distribution tree switchover US 7924743US 7924743.
Passing information from a forwarding plane to a control plane Passing information from a forwarding plane to a control plane US 8010696.

Papers Published

Semantic Scholar: Le Faucheur, Francois, Arun Kudur, and Ashok Narayanan. "Multiple Preemption Priority Policy Element for RSVP."

Program

Bachelor of Technology (BTech)

Duration - 4 years
Semester - 08
Intake - 60 Students

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Admission 2024

Top AI Engineering College in Karnataka

UG INTAKE

60

DURATION

4 Years

Scope and Opportunities

Program Specific Outcomes (PSOs)

Syllabus - Autonomous Scheme

Syllabus - NDU