Computer Science and Engineering
About the Department
The Department of Computer Science and Engineering was established in the year 1987 and since its inception, the department has progressed with a vision and a strong commitment to developing competent programmers with uncompromising standard of excellence in training, both through class room sessions and hands on sessions. The department has well equipped computing laboratories and a rich repository of software covering a wide spectrum of applications. It presently offers undergraduate, postgraduate and PhD programmes in the Computer Science and Engineering stream.
From the HOD’s Desk
Dr. Divya Vadlamudi,
Professor & Head
Department of Computer Science and Engineering at KSI – KCT is one of the most sought-after engineering branches, offering a comprehensive range of foundational and advanced courses at the undergraduate level. The department is committed to providing students with hands-on, application-oriented learning experiences through its state-of-the-art laboratories, preparing them to excel as leaders in academia and industry. The curriculum is designed to meet industry standards, with a strong focus on domain-based education in key areas such as smart cities, healthcare, gaming, software-defined vehicles, and education. Department incorporates the latest advancements in technology through eight specialized cohorts including Web and Software Development, AI and Automation, Data Science, Internet of Things, Networking and Distributed Computing, Extended Reality, and Cybersecurity.
The department emphasizes holistic learning by encouraging students to participate in hackathons, workshops, and industry-driven training sessions. With numerous collaborations with industry and access to globally recognized academic certifications, students gain valuable exposure to real-world challenges and emerging technologies. This approach not only enhances their technical expertise but also fosters innovation, critical thinking, and problem-solving skills, ensuring they are well-equipped for successful careers in the rapidly evolving tech industry.
Vision
To evolve as a School of Computer Science with centers of excellence having international reputation to serve the changing needs of Indian industry and society.
Mission
- Computer Science and Engineering department is committed to bring out career oriented graduates who are industry ready through innovative practices of teaching-learning process.
- To cultivate professional approach, strong ethical values and team spirit along with leadership qualities among the graduates by organizing workshops, seminars and conferences periodically. Association with professional bodies and invitation to external experts should help this.
- To contribute towards techno-economic and social development of the nation through quality human resource and encouraging entrepreneurship among the young graduates.
Dr. P. Devaki
Professor
Date of Joining: 15-06-1992
Dr. P. Devaki received her B.E. degree in Computer Science and Engineering from the Institute of Road and Transport Technology (IRTT), Erode and ME from Kumaraguru College of Technology, Coimbatore. She received MS in Computer Science from BITS, Pilani. She received Ph.D. from Anna University, Chennai.
She was associated with Kongu Engineering College for 3 years from 1989 -1992, and then joined KCT in 1992. She has a rich academic experience of 28 years in teaching at engineering colleges.
She has authored 4 books and has published more than 40 technical papers at various conferences and Journals. Her research work is on Grid Computing and Parallel Computing. Her area of interest is Distributed Computing, Big data Analytics, Cloud Computing and IoT.
Dr. V. Vanitha
Professor
Dr. V. Vanitha, Professor in the Department of Computer Science Engineering at Kumaraguru College of Technology. Received B.E and M.E in computer science and engineering from Bharathiar University, Coimbatore and Ph.D. in ICE from Anna University, Chennai. She has more than 20 years of teaching experience and 2 years of industry experience. She has published more than 50 papers in various international journals and conferences and her research interests include Internet of Things, Wireless Sensor Networks and cyber Security.
Dr. J. Cynthia
Professor
Dr. J. Cynthia is an experienced academician, skilled in student development, curriculum development, E-learning and practice teaching andragogy by adapting active learning methods and tools to facilitate experiential learning. Active researcher with a Ph.D. from Anna University; with over 30 publications in various indexed journals and conferences. Her research focus includes Communication Protocols, Ad hoc and Sensor networks, IoT and Block chain. She has taken lead role in various administrative positions pertaining to department and institute. Strives to strengthen Industry and Alumni connect with personal rapport to facilitate student trainings, internships and placements. Strives to establish methodologies for generating consultancy revenue from Government Agencies and Industries.
Dr. N. Suganthi
Professor
Dr N.Suganthi has 22 years of teaching experience, 40 + conference and journal research publications. She completed her Ph.D on 2014 and got Anna University supervisor recognition in 2016. She handles courses in hardware, security and wireless networks. She has guided almost 2 to 3 UG and PG projects during every year of her experience, she is currently guiding 5 Ph.D scholars including one full time scholar. She spends her free time reading books and gardening.
Dr. S. Rajini
Associate Professor
Dr. S. Rajini Ph.D. in Computer Science and Engineering
Artificial Intelligence and Distribute Computing
Preparation Phase: Published “Computer Practice II” with Prof. Ramasubramanian and Prof. Gopalakrishnan in 2020
Research Publications: 10 Research Articles and 20 Conference Proceedings
Dr. S.Rajini is a sincere and dedicated teacher who tries to simplify the learning process for students. She has 25 years of collegiate teaching experience. She is a doctorate degree holder from Anna University who specialized in “Word Sense Disambiguation techniques” using Artificial Intelligence and Deep Learning. She has organized several Inter-collegiate Technical competitions, training programs and delivered invited talks on latest developments in Computer Science and Engineering.
Dr. E A. Vimal
Associate Professor
Dr. E. A. Vimal is a teaching professional who has vast experience of 15 years in this field. Technically a sound person in Java and also guiding the students to acquire the skill sets needed to survive in the industry. He has also served in the Office of the controller of Examinations as Deputy Controller of Examinations for 2 years and currently associated in Dept. of Technical Services.
Dr. V P. Sumathi
Associate Professor
Dr. V. P. Sumathi as Associate Professor in the Department of Computer Science and Engineering. She has done Ph.D. in healthcare data analytics. She is a SET-qualified professional. She has 18 years of teaching and 6 years of research experience. She has published more than 50 papers in various international journals and conferences. She has attended government-sponsored Summer Research fellowship Programme at IISc, Bengaluru. She acted as a resource person in more than 10 Internet of Things workshops in and around the state. She has delivered seminars on Data science in government institutions. Her research interest is IoT analytics. She acted as visiting faculty for industry offered PG Diploma course. She guided more than 30 UG and PG projects. She is a life member of ISTE. She has finished many NPTEL certification programs and online certification courses. She acted as OBE based question bank evaluator in outside colleges.
Dr. R. Kalaiselvi
Assistant Professor III
- Dr.R Kalaiselvi is Assistant Professor in Department of Computer Science and Engineering.
She has done Ph.D in Cloud data security. She has 24 years of teaching experience. She has
published more than 50 papers in various international journals and conferences. She acted as
resource person in more than 15 Cloud Computing workshops and guest lectures in and around
the state. She has completed AWS Certified Cloud Practitioner certification. She guided more
than 70 UG and PG projects. She is the reviewer for 2 international journals. Her research
interests include data security, cloud computing, Blockchain.
Dr. G. Kanagaraj
Assistant Professor II
Dr. G. Kanagaraj is a Faculty of Computer Science and Engineering. He has 8 years of teaching experience in various courses like Web Technology, Open-Source Software, Mobile Application Development, User Interface Technologies, C Programming and Python Programming. He is pursuing his research in Cloud Computing and has published 13 research papers in various international journals and conferences and co-authored a book titled “Data Structures and Algorithms Using C”.
He has 4 years of experience in organizing the national level hackathons and is certified with MHRD’s Innovation Ambassador training programs and is a convener for the Institutions Innovation Cell (IIC). He is also the Single Point of Contact for Infosys Campus Connect Program and has organized and attended various training program organized by Infosys and has been awarded with Bronze Faculty Partnership award.
Mr. U. Thiruvaazhi
Assistant Professor III
Mr. U. Thiruvaazhi is an educationist, researcher and a faculty working at the intersection of AI, Information Security and Privacy, his work focuses on leveraging identity to maximize utility, security, and privacy of
information. With the breadth of study and experience in the fields of Electrical, Electronics,
Computer Science and Engineering and with depth of specialization in the field of Information
Security, Software Security, Data Science and Machine Learning and recently AI including Gen
AI – he has a unique perspective of systems in this age of information and intelligence. With
master’s in computer science from college of engineering Guindy and PGP in Data Science and
Machine Learning from University of Chicago and industry standard certification credentials of
CISSP and CSSLP conferred by ISC2, and his continual education (Blockchain Developer
course via Udacity, and recent Generative AI for Business from Microsoft and Great Learning),
he is well placed to take up challenging problems and develop innovative, simple but impactful
solutions using emerging technologies. He brings with him the necessary theoretical rigor and
the practitioners’ approach and applies them appropriately for building effective solutions. As a
faculty he has piloted technology empowered learning and has successfully created programs
with the appropriate blend of cognitive and experiential learning that can both sustain and scale
to make quality education accessible to all who aspires for. With interactions at MIT Learning
International Networking Consortium, Isha Education Pilots and currently at Kumaraguru
Institutions, he is using and evolving sustainable and scalable learning solutions with focus on
the emerging technologies. He makes use of the necessary technology tools to see deeper into
the apparently challenging problems and loves to cross the narrow boundaries that we have set
for ourselves and discover multi-disciplinary solutions that is useful to all stakeholders.
Dr. A. Roshini
Assistant Professor III
Dr. A. Roshini_Assistant Professor III , CSE department – KSI. She completed her Bachelor of Engineering in Computer Science and Engineering from Avinashilingam University Coimbatore, 2009. Followed by, she pursued Master of Technology in Mainframe Technology from Anna University, Coimbatore, 2011. She gained four years of teaching experience in Anna University Affiliated Engineering colleges, Coimbatore (2011-2016), after which she moved to KL University, Vijayawada, Andhra Pradesh in 2016 as Assistant Professor (2016-2024) and registered for Doctor of Philosophy in Computer Science and Engineering from the same University and completed in May,2023. The key areas of interests are Networking, Cryptography, Ethical Hacking and Wireless Body Area Networks. She is passionate about Ethical Hacking and completed global certified as “Certified Ethical Hacker” and also became an Instructor. She wishes to impart the knowledge to students in order to cope up with industry standards in handling cyber related issues.
Dr. C. Bharathi Priya
Assistant Professor II
Dr. C. Bharathi Priya is an Assistant Professor in the Department of Computer Science and Engineering at Kumaraguru College of Technology, with over 18 years of teaching and 2 years of industry experience. She specializes in IoT, Edge Computing, UAV technologies, smart city development, renewable energy analytics, and autonomous vehicles. With expertise in programming languages like Python and C, databases like MongoDB and SQL, and tools such as MATLAB and R, she actively contributes to research and academic initiatives at the Kumaraguru School of Innovation (KSI). She has authored over 65 publications indexed in Scopus and Web of Science, presented 18 conference papers, and holds 4 patents. Her research focuses on sustainable development goals, including smart cities and climate action. As the KSI Coordinator for Research and Development, SPOC for IEEE, and a driving force behind establishing IoT, 3D printing, and drone labs, she plays a pivotal role in fostering industry collaborations and mentoring students in cutting-edge technologies.
Ms. D. Aswini
Assistant Professor II
Ms. Aswini D, M.E (Ph.D.), Assistant Professor in the Department of Computer Science and Engineering is known for her friendly approach. Her hard work and curiosity in learning made her to gain a very good knowledge in subjects that she teaches. She has more than 8 years of teaching experience. She has been recognized and awarded by the Institute for her excellence in teaching. She is also a SET-qualified candidate. She authored a book titled Python. She has wide experience in developing IoT prototypes. Internet of Things and Analytics are her area of research.
Apart from academics, she coordinates KCT- Varnam club activities and actively participates in sports events. Her hobbies are listening to music and gardening.
Mr. V. Senthilkumar
Assistant Professor II
Mr. V. Senthilkumar is currently serving as an Assistant Professor II in the Department of Computer Science and Engineering at Kumaraguru School of Innovation(KSI), KCT Coimbatore. He is diligently pursuing his Ph.D. in Computer Science and Engineering from PSG College of Technology, Coimbatore. He holds a Master’s degree in Computer Science and Engineering from Sri Krishna College of Engineering, Coimbatore (2012) and a B.E. degree in Computer Science and Engineering from CIET, Coimbatore (2010).With over 12 years of teaching experience, he has made significant contributions to his field. He has published three patents, 13 Scopus-indexed research articles, and 11 papers at international conferences. His areas of interest are diverse and cutting-edge in the IoT,edge and UAV cohort, software and web development, sentiment analysis, mobile application development, NLP, data visualization,database management systems and digital systems & design.
Dr. N. Jeba
Assistant Professor II
Dr. N. Jeba is passionate about teaching, committed to creating engaging and effective learning experiences, fostering a love for knowledge, and inspiring students to reach their full potential. She has been working in Kumaraguru College of Technology from June 2014. She has published and presented various papers in various international and national journals/conferences. She has delivered lectures and workshops on IoT in reputed institutions. Her area of interest includes IoT and Data Analytics.
Mr. R. Kirubakaran
Assistant Professor II
Mr. R. Kirubakaran is a motivated, passionate teacher who believes real learning will happen only if there is trust between the learner and the teacher. As a young mentor, he is always maintaining a good rapport with all the students and guided many students to work with many real-time projects. He wants to be a listener and learner always and his interests vary from reading books, traveling, listening to great speeches, etc. He is an active team player in coordinating events and a better facilitator in getting things done.
He is always looking for experiences and tries to enjoy life each and every moment.
Mr. M. Sathish
Assistant Professor II
Mr. Sathish M worked as an Assistant Professor II in KGiSL Institute of Technology for the past 2 years. He worked as an Assistant Professor for 5 Years and as a HOD for 2 Years in Sri Guru Institute of Technology, Coimbatore. He is having total Experience of 9 years in teaching domain. Currently he is pursuing PhD in Information and Communication Engineering at Anna University, Chennai. He has completed his Master of Engineering in Computer Science & Engineering at Anna University, Trichy with Gold Medal. He completed his B.Tech in Information Technology at P.R Engineering College, Thanjavur. He is doing the research in the field of Brain Computer Interface & Deep Learning. He published one Journal, Three conferences and One Indian patent. His vision is to serve the student fraternity with the knowledge and apply the same in software product development activities with my associated students.
Mr. M. Vivek Anand
Assistant Professor II
Mr. M. Vivek Anand working as an Assistant Professor in the Department of Computer Science and Engineering. Having 10 years of experience in teaching. handled various courses like C Programming ,Computer networks, Python programming, Object oriented Programming etc. He is doing research in the field of blockchain. He published 4 Journal Papers,14 Conference Papers, 1 Patent and 5 Book chapters. He is a Cisco certified Trainer to train various courses through the cisco Netacad portal. He is interested to work in the field Robotic process Automation.
Dr. K. Saranya
Assistant Professor I
Dr. K. Saranya is an innovative teaching professional with 6 years of teaching experience and currently pursuing her Ph.D. in the area of Brain Computer Interface. She has won various awards notable ones are best paper presenter award at an international conference at Bali, Indonesia. She was also selected for two-month summer research fellowship programme and successfully completed her fellowship at Indian statistical institute, Kolkata. She is very encouraging and more than 15 Scopus publications stands as an example for her interest in research.
Ms. R. Asmitha Shree
Assistant Professor I
Ms. R. Asmitha Shree has six years of teaching experience, I have actively participated in numerous initiatives to bridge the gap between academia and industry, fostering innovation through mentored projects. I have mentored TNSCST student projects and completed industrial training in Data Science with Python. I have three published patents. I have also published 17 papers,
including Scopus/UGC/International Conference papers, in domains such as Networks, Deep Learning, IoT, Cyber Security, and Machine Learning. My dedication lies in nurturing innovation and collaboration within the academic community.
Ms. R. Nivetha
Assistant Professor I
Ms. R. Nivetha is highly skilled and passionate professional with 8.5 years of expertise in the software industry, holding an M.Tech in Data Science from Kumaraguru College of Technology. Recognized for academic excellence, securing top positions in schooling, undergraduate, and postgraduate studies. Worked as Programmer Analyst at Cognizant Technology Solutions, specializing in software design and development, and later served as Project Manager at Tata Consultancy Services. Possesses multiple certifications, including Sun Certified Java Programmer (SCJP), ISTQB Foundation Level, and Cognizant Certified for Core Java, Software Testing and Managed healthcare, Infosys Certified Python for Data Science. A distinguished speaker at two workshops organized by KSI and author of a paper published in a Springer conference. Driven by a passion for academia, committed to integrating innovative research with education to make impactful societal contributions, and keenly interested in exploring new teaching methodologies to enhance learning experiences.
Mr. K. Manoj
Assistant Professor I
Mr. Manoj K completed a 5-year integrated M.Tech course at VIT University, Vellore, and pursuing a Ph.D. at VIT University. He briefly worked in the industry before joining the Ph.D. program and served as an Assistant Professor for three years.
His research achievements included publishing papers in Scopus-indexed journals, attending and submitting papers at two conferences in Data Science domains, coordinating one conference conducted by VIT, attending multiple Faculty Development Programs (FDPs) and workshops at VIT, and worked as an editor for two conferences.
Manoj was inspired by the desire to touch lives, kindle curiosity, and foster a deep connection with students through teaching. He was driven by a passion for making a meaningful impact on his students’ academic and personal growth, aiming to inspire and guide future engineers.
Ms. P. Anitha
Assistant Professor I
Ms. P. Anitha from Coimbatore. I graduated from SNS College of Technology with a bachelor’s degree. I obtained my Masters degree at United Institute of Technology. I have totally 7 years of work experience as Assistant Professor at Sri Krishna College of Engineering and Technology. My area of interest is Database and Data Analytics. I possess certifications in SQL from Infosys and Oracle. To make a positive impact on society by assisting students with their well-being is the key motivation for choosing to become a teacher. Easily adapting to any situation and being an effective communicator are my strengths.
Ms. Ananya Bhattacharjee
Assistant Professor I
Ms. Ananya Bhattacharjee holds a B.Tech degree in Electronics and Telecommunication (2015) under Gauhati University and MTech degree in Electronics and Communication (2018) from North Eastern Regional Institute of Science and Technology (NERIST), Arunachal Pradesh. She has submitted her Ph.D. thesis at NIT Silchar, Assam for Ph.D. degree award. She has four years of teaching experience as teaching assistant at NIT Silchar, Assam. She has more than 10 research publications in reputable journals such as IEEE transactions, springer etc. and IEEE conferences, including both national and international. She has 4 SCI publications in her credit. She is passionate about AI, Deep Learning, Machine Learning, Data Science, Data Visualization, Computer Vision and Medical Imaging. She is dedicated to leveraging her expertise to equip students with the skills needed to excel in these rapidly evolving fields. She is in Automation and Artificial Intelligence cohort and Healthcare domain.
Mr. Geoffrey George Varghese
Assistant Professor I
Mr. Geoffrey George Varghese is an Assistant Professor I in the Department of Computer Science, holding a Bachelor of Engineering in Aeronautical Engineering (2021) and a Master of Technology in Data Science (2024) from Kumaraguru College of Technology, Coimbatore, with valuable experience gained through a six-month Teaching Assistant internship at the Kumaraguru School of Innovation. His specializations include Deep Learning, Machine Learning, Computer Vision, Streaming Data, Cloud Data Processing, Computer Networks, UI/UX Design, Web Development, IoT, Embedded Systems, Computer Architecture, Edge Computing, 3D Printing, Jetson Platforms, along with proficiency in Python, C, Java, and extensive experience across macOS, Windows, and Linux environments. Passionate about AI-driven automation, Software-Driven Vehicle Technology, and Web Technologies, his focus lies in the IoT, Edge, and UAV domains. Mr Geoffrey George Varghese is dedicated to equipping students with the skills needed to excel in the rapidly evolving technological landscape.
Curriculum & Syllabus – UG
- B.E Computer Science & Engineering Curriculum & Syllabus – R24(Semester I & II)
- B.E Computer Science & Engineering Curriculum & Syllabus – R18A(2023 Batch)
- B.E Computer Science & Engineering Curriculum & Syllabus – R18A(2022 Batch)
- B.E Computer Science & Engineering Curriculum & Syllabus – R18A(2021 Batch)
- B.E Computer Science & Engineering Curriculum & Syllabus – R18
- B.E Computer Science & Engineering Curriculum & Syllabus – R17
- B.E Computer Science & Engineering Curriculum & Syllabus – R15
- B.E Computer Science & Engineering Curriculum & Syllabus – R14
- B.E Computer Science & Engineering Curriculum & Syllabus – R13
- B.E Computer Science Engineering Curriculum and Syllabus – R09
- UG – B.E. Computer Science Engineering 4 Years (8 Semesters)
- UG – B.E. Information Science & Engineering 4 years (8 Semesters)
- Ph.D.
B.E. – Computer Science and Engineering
PROGRAMME EDUCATIONAL OBJECTIVES (PEOs)
- PEO1: Enable graduates to be successful in their chosen careers, by applying their continual learning of Computer Science and Engineering in their work and life situations.
- PEO2: Enable graduates of the program to continue to adopt latest technologies and be critical learners displaying creativity and demonstrate to be leaders.
- PEO3: Prepare graduates of the program to be innovative product engineers catering to the requirements of the enterprises and society.
PROGRAMME OUTCOMES (POs)
Graduates of BE-CSE programme will have the following abilities:
- PO 1: Engineering knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.
- PO 2: Problem analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.
- PO 3: Design/development of solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.
- PO 4: Conduct investigations of complex problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.
- PO 5: Modern tool usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.
- PO 6: The engineer and society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.
- PO 7: Environment and sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.
- PO 8: Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.
- PO 9: Individual and team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.
- PO 10: Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.
- PO 11: Project management and finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.
- PO 12: Life-long learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.
PROGRAMME SPECIFIC OUTCOMES (PSOs)
Graduates of the Computer Science and Engineering Undergraduate Program will have the ability to:
- PSO 1: Proficiently develop useful products by applying appropriate hardware and software technologies.
- PSO 2: Organize heterogeneous data for accurate large-scale data processing using appropriate algorithms and tools
- PSO 3: Understand modern networking technologies and apply programming skills to create scalable real-time applications.
PROGRAMME SPECIFIC OUTCOMES (PSOs) [From Regulation 2024]
The Program Specific Outcomes of Computer Science and Engineering Undergraduate Program are:
- PSO 1: Proficiency in Software Engineering and System Design: Graduates will be able to design, develop, and optimize software solutions, applying core principles of computer science to build efficient, scalable, and secure systems.
- PSO 2: Competency in Emerging Technologies: Graduates will develop expertise in emerging technologies and specialized domains enabling them to Innovate and build advanced solutions meeting Industrial and societal needs.
- Accreditation Achieved: Secured NAAC/NBA recognition.
- Research Excellence: Published 50+ papers and filed patents.
- High Placement Rates: Achieved 90% student placements in core companies.
- Industry Collaboration: Signed MoUs with leading tech firms.
- Infrastructure Upgrades: Established modern labs and smart classrooms.
- Student Achievements: Won national hackathons and innovation awards.
- Faculty Recognition: Faculty received prestigious teaching/research awards.
- Community Impact: Conducted social outreach programs and tech workshops.
- Successful Events: Hosted hackathons based on sustainable development goals and Thiran Thedal Thiruvizha for project Expo.
Data Analytics and Cloud Computing Laboratory
About the laboratory facilities
This Data Analytics and Cloud Computing lab is precise and equipped with high end desktop machines for data analytics and cloud projects. This Lab has 35 Intel i5 machines with 8 GB RAM, 500GB HDD exclusively dedicated for faculty members and students to take up research and strengthen their knowledge in Data Science.
Design and Analysis of Algorithms Laboratory
About the laboratory facilities
This Design and Analysis of Algorithms lab is well established and equipped with HP and Dell core i5 Desktop core i5 PC’s. This lab is utilized by UG students for getting expertise in various languages like C, C++, Java, Python, and database management system. This lab facilitated with high-speed internet connectivity of the machines for online access. Additionally, Guidelines are provided to the students by faculty experts and technical supporting staff members.
Digital laboratory
About the laboratory facilities
Digital laboratory is equipped with computer hardware components such as Microprocessors, Digital Circuit components, IoT Components, Motherboard, CPU, Disk drives and Routers. It is designed to facilitate the students to carry out hardware-based experiments to obtain a comprehensive practical knowledge on computer architecture and interfaces. It also helps the students with adhoc access to the hardware components during Hackathon or Project competitions.
Mobile Application Development Laboratory
About the laboratory facilities
The mobile application development lab is well established and equipped with Dell core i5 and desktop PC’s. This lab is utilized by UG students for getting expertise in various languages like C, C++, Java, Python, and database management system. The lab system is upgraded with 8GB of RAM to support Android application development. And this lab supports various hypervisors like Oracle VirtualBox, Xen, OpenStack, etc., This lab facilitated with high-speed internet connectivity of the machines for online access.
Open-Source Laboratory
About the laboratory facilities
Open-Source lab is equipped with 10 Dell Desktop Systems and 20 Workstations and several hardware and IOT interfacing kits. In this lab, as part of their final year projects the students work together to develop many open-source applications, the hardware interfaced projects and Cloud based projects carried out will be undisturbed until they complete the project. The key focus is on instructing students to use Open-Source Tools.
Programming Laboratory – 1
About the laboratory facilities
The lab aims to facilitate programming skills to the first-year students in languages like C, Python and Matlab Programming. The students can develop their programming skills in IDE’s like codeblocks, Matlab, etc.
| Faculty involved | Activities |
|---|---|
| Extended Reality | |
|
|
| Cloud Computing | |
|
|
| Networking and Distributed Computing | |
|
|
| Automation and Artificial Intelligence | |
|
|
| Web and Software Development | |
|
|
| IOT, Edge and UAV | |
|
|
| Cyber Security | |
|
|
| Data Science | |
|
|
Research Projects:
- KCT management funded project titled “Pharmaceutical Supply Chain Management using IoT with Blockchain and Machine learning Techniques” was carried out to develop a system for strategic coordination of the entire value-added process of a product (pharma value chain) and the logistics.
- TNSCST sponsored student project titled “AI Powered automation for precision Poultry” fetched a grant of Rs.7500
- AICTE Sponsored Department Computer Science and Engineering for Skill and Personality Development Centre
- Samsung R&D institute, India sponsored Rs. 84,600 for the project titled “Meme Detection Benchmarking on Indian Data Using OCR Text and Audio.”
Research supervisor List with scholars’ name
| S. No | Name of Ph.D. Scholar | Registration No. | Whether Scholar is Internal/ External | Month & Year of Enrolment | Name of the Supervisor | Approval No. |
| 1 | P.Kavitha | 1525469306 | External | January -2015 | Dr. L.Latha | 2540021 |
| 2 | M.Karthigha | 1622469329 | External | January -2016 | Dr. L.Latha | 2540021 |
| 3 | D.Yamunathangam | 21244691317 | Internal | January – 2021 | Dr. L. Latha | 2540021 |
| 4 | L. Nithya | 21224697591 | External | September – 2021 | Dr. L. Latha | 2540021 |
| 5 | S.Sathyavathi | 18244697195 | Internal | July -2018 | Dr.K.R.Baskaran | 2740032 |
| 6 | S.Kavitha | 18244697192 | Internal | July -2018 | Dr.K.R.Baskaran | 2740032 |
| 7 | M.N.Saroja | 18244697186 | Internal | July -2018 | Dr.K.R.Baskaran | 2740032 |
| 8 | G.Shobana | 19244697213 | Internal | July -2019 | Dr.K.R.Baskaran | 2740032 |
| 9 | X.Francis Jency | 19234697254 | Internal | July -2019 | Dr.K.R.Baskaran | 2740032 |
| 10 | P. Anitha | 20244691139 | External | January – 2020 | Dr. K. R.Baskaran | 2740032 |
| 11 | G.Prema Arokia Mary | 18244697291 | Internal | July -2018 | Dr.N.Suganthi | 2740098 |
| 12 | D.Aswini | 19244697222 | Internal | July -2019 | Dr.N.Suganthi | 2740098 |
| 13 | R.Kirubakaran | 19134697177 | Internal | July -2019 | Dr.N.Suganthi | 2740098 |
| 14 | V.Saranyah | 19244697156 | External | July -2019 | Dr.N.Suganthi | 2740098 |
| 15 | S.Sangeetha | 19244697280 | External | July –2019 | Dr. N. Suganthi | 2740098 |
Publications
| S.NO | Academic Year | No. Of Publications | Paper details |
| 1 | 2024-2025 | 5* | View Details |
| 2 | 2023-2024 | 52 | View Details |
| 3 | 2022-2023 | 22 | View Details |
*- On going academic year
Book Chapters
| S.NO | Academic Year | No. Of Publications | Chapter details |
| 1 | 2024-2025 | 1* | View Details |
| 2 | 2023-2024 | 14 | View Details |
| 3 | 2022-2023 | 7 | View Details |
*- On going academic year
Sponsored Research and Consultancy
The department has secured funding for several impactful projects, reflecting a strong focus on sponsored research and industry consultancy.
- The CSE department made a goodwill contribution to the development of the “Web Application Development for Brahma Poultry Farms” in Annur, Coimbatore.
- The department also contributed to the creation of the “Weight Scale Automation using IoT” for Brahma Poultry Farms, Annur, Coimbatore, on a goodwill basis.
- The department played a key role in the development of “Search Engine Optimization and Performance Enhancement for the Website” for Kanish Plaster Pvt Ltd, Coimbatore, as part of its goodwill efforts.
| ACADEMIC YEAR | AY 2022-2023 | AY 2023-2024 | AY 2024-2025 | |||
| CATEGORY | Total(in Nos) | Amt (Rs) | Total(in Nos) | Amt (Rs) | Total(in Nos) | Amt (Rs) |
| RESEARCH | 02 | 2,70,100 | 2 | 92,100 | On going | On going |
| CONSULTANCY | 02 | – | 2 | 1,00,700 | 1 | 19,000,00 |
| TOTAL | 2,70,100 | 1,92,800 | – | 19,000,00 | ||
Research Centre
The first approval of CSE Research Centre Affiliation was received in April 2008 from Anna university. Then successive renewals were done and the current validity is sanctioned up to December 2026.
Supervisor Guideship details
AY 2024-2025
| S.No. | Name of the Supervisor | Reg.No. | Supervisor Research Area |
| 1 | Dr.N.Suganthi | 2740098 | Wireless Network Security, Internet of Things |
| 2 | Dr. L.Latha | 2540021 | Biometric authentication, Data security |
| 3 | Dr.S. Sangeetha | 4040073 | Differential Privacy, Deep Learning, Machine Learning, Recommendation system |
| 4 | Dr. S. Sathyavathi | 4440020 | Software Engineering , Machine Learning , Deep Learning , web and Software evelopment |
AY 2023-2024 , AY 2022-2023
| S.No. | Name of the Supervisor | Reg.No. | Supervisor Research Area |
| 1 | Dr. L.Latha | 2540021 | Biometric authentication, Data security |
| 2 | Dr.K.R.Baskaran | 2740032 | Machine learning, Web Mining, Data Analytics |
| 3 | Dr.N.Suganthi | 2740098 | Wireless Network Security, Internet of Things |
Scholars completed details
| S.No. | Name of the Scholar | Reg.No. | Year of Completion |
| 1 | S.Kavitha | 18244697192 | 2024 |
| 2 | S.Sathyavathi | 18244697195 | 2024 |
| 3 | M.Karthigha | 1622469329 | 2024 |
| 4 | G.Prema Arokia Mary | 18244697291 | 2023 |
| 5 | M.N.Saroja | 18244697186 | 2023 |
| 6 | P.Kavitha | 1525469306 | 2023 |
Scholars Publication details
| S. No | Name of the Supervisor | Name of Ph.D. Scholar | Registration No. | Paper Details |
| 1 | Dr. L.Latha | P.Kavitha | 1525469306 | 1. Latha l, Palanisawmy Thangam ,Kavitha P, Sophisticated methods for noise filtering, subgroup discovery, and classification in big data analysis, Journal of Intelligent and Fuzzy Systems, Volume 43, Issue 6 ISSN 10641246, DOI 10.3233/JIFS-220171(SCIE, Scopus)(SCIe) |
| 2 | Dr. L.Latha | M.Karthigha | 1622469329 | 1. Latha L., Karthigha, M. (2023), Clustered ensemble feature selection with M-GRU classification for efficient intrusion detection system of industrial systems, Journal of Intelligent and Fuzzy Systems, Volume 44, Issue 6, Pages 9109 – 9127, DOI. 10.3233/JIFS-222643 (SCIe)
2. Karthigha, L. Latha and K. Sripriyan, “A Comprehensive Survey of Routing Attacks in Wireless Mobile Ad hoc Networks,” 2020 International Conference on Inventive Computation Technologies (ICICT), 2020, pp. 396-402, doi: 10.1109/ICICT48043.2020.9112588.
|
| 3 | Dr.K.R.Baskaran | S.Sathyavathi | 18244697195 | 1. Baskaran, K. R. ,Sathyavathi, S., (2023). An Intelligent Human Age Prediction from Face Image Framework Based on Deep Learning Algorithms. Information Technology and Control, 52(1), pp:245-257. https://doi.org/10.5755/j01.itc.52.1.32323(SCIE, Scopus)
2. Baskaran, K.R., Sathyavathi, S., Human Age Estimation Using Deep Convolutional Neural Network based on Dental Images (Orthopantomogram),IETE Journal of Research, https://doi.org/10.1080/03772063.2023.2165177 (SCIE, Scopus) 3. Baskaran Kuttuva Rajendran, Sathyavathi Sundarasamy, Age and gender classification with bone images using deep learning algorithms, Indonesian Journal of Electrical Engineering and Computer Science, DOI: http://doi.org/10.11591/ijeecs.v31.i1.pp359368(Scopus) 4. K.R.Baskaran, S. Sathyavathi, R. Kaarthickkeyan, S. Gangamanikandan, S. Harish, “Electromyography Sensor With Virtual Reality – Monitoring Muscle Activity”, Test Engineering and Management, ISSN: 0193-4120, Volume-83, June 2020, pp. 18350 – 18357 5. Kavitha, K.R.Baskaran, S.Sathyavathi, ” Tasks Of Object Detection Using Deep Learning Architectures”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-12S, October 2019, pp.398-400 6. Sathyavathi, K.R.Baskaran, S.Kavitha, ”Social Media Data Analysis Using Recommendation Algorithms”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-12S, October 2019, pp.394-397 7. Kavitha, K. R. Baskaran, S. Sathyavathi, “Heart Disease With Risk Prediction Using Machine Learning Algorithms”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-4S, November 2018, pp. 314-317 8. Sathyavathi, K. R. Baskaran, S. Kavitha, “Non-Invasive Diabetes Mellitus Detection Using Facial Block Color”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-4S, November 2018, pp. 304-306 |
| 4 | Dr.K.R.Baskaran | S.Kavitha | 18244697192 | 1. Baskaran Kuttva Rajendran, Kavitha Sundarrajan, Dhanapriya Balasubramanian (2023), “Fusion of Ensembled UNET and Ensembled FPN for Semantic Segmentation”, Traitement du Signal, Vol. 40, No. 1, February 2023, pp. 297-307. (SCIE, Scopus)
2. K.R. Baskaran; S. Kavitha; B. Dhanapriya, Explainable AI for Detecting Fissures on Concrete Surfaces Using Transfer Learning. 2023 International Conference on Inventive Computation Technologies (ICICT), IEEE, DOI: 10.1109/ICICT57646.2023.10134145(Scopus) 3. K.R.Baskaran, B.Kaviya, S.Kavitha, “A Stock Market Prediction System Based On Time Series Data”, Test Engineering and Management, ISSN: 0193-4120, Volume-83, June 2020, pp. 18327 – 18338 4. Sathyavathi, K.R.Baskaran, S.Kavitha, ”Social Media Data Analysis Using Recommendation Algorithms”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-12S, October 2019, pp.394-397 5. Kavitha, K. R. Baskaran, S. Sathyavathi, “Heart Disease With Risk Prediction Using Machine Learning Algorithms”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-4S, November 2018, pp. 314-317 6. Sathyavathi, K. R. Baskaran, S. Kavitha, “Non-Invasive Diabetes Mellitus Detection Using Facial Block Color”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-4S, November 2018, pp. 304-306 |
| 5 | Dr.K.R.Baskaran | M.N.Saroja | 18244697186 | 1. M. N. Saroja and K. R. Baskaran (2022), ” Algorithm for Optimal Power Performance in Body Area Network in Smart Wearable Patches for Environmental Applications “, Journal of Environmental Protection and Ecology 23, No 6, pp.2580–2588.(SCIE& Scopus)
2. K.R.Baskaran, M.N.Saroja,” Machine Learning Algorithms For Human Activity Recognition”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-12S, October 2019,pp. 401-403 3. K.R.Baskaran, M.N.Saroja, ” Human Activity Recognition Using Active Learning Methodology”, International Journal of Innovative Technology and Exploring Engineering (IJITEE) ISSN: 2278-3075, Volume-8 Issue-12S, October 2019, pp.404-406 4. M.N.Saroja, s.kannan, K.R. Baskaran, “Analysing The Purchase Behavior Of A Customer For Improving The Sales Of A Product”, International Journal of Recent Technology and Engineering (IJRTE) ISSN: 2277-3878, Volume-7 Issue-4S, November 2018, pp. 173-175 |
| 6 | Dr.K.R.Baskaran | G.Shobana | 19244697213 | 1. Shobana G , Baskaran K R,” Aspect based sentiment analysis for customer reviews” 1st IEEE International Conference on Smart Technologies and Systems for Next Generation Computing, ICSTSN 2022 ISBN 978-166542111-9 DOI 10.1109/ICSTSN53084.2022.9761302 |
| 7 | Dr.N.Suganthi | G.Prema Arokia Mary | 18244697291 | 1. N. Suganthi and G. Prema Arokia Mary, “Detection of Parkinson’s disease with multiple feature extraction models and darknet cnn classification,” Computer Systems Science and Engineering, vol. 43, no.1, pp. 333–345, 2022 (Elsevier Solutions Scopus)
2. G Prema Arokia Mary, N Suganthi, M S Hema, M Hari Dharshini, K Vaishaali, M Monika Sri (2020), “Predicting Metamorphic Changes in Parkinson’s Disease Patients Using Machine Learning Algorithms”, Bioscience Biotechnology Research Communications, 13(11), 147-152 3. G.Prema Arokia Mary, K.Saru Priya, N.Suganthi, S.Sathyavathi. (2020). Dopamine Analysis Using Multiple Machine Learning Techniques. International Journal of Advanced Science and Technology, 29(05), 10220 – 10227. http://sersc.org/journals/index.php/IJAST/article/view/21281 4. Prema Arokia Mary G, Suganthi N, Monisha M, Raagapriya C, Vignesh N (2021), “Wrist Sensor Based Tremor Diagnosis in Parkinson’s Disease Using Machine Learning Algorithm”, Strad Research, 8(5), 145-151, https://doi.org/10.37896/sr8.5/014 |
| 8 | Dr.N.Suganthi | V.Saranyah | 19244697156 | 1. Suganthi, N. Saranyah, V Blockchain application in preserving authenticity and enabling transparency in the approval of loans for the clients in banking system. (2023). 2nd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation, ICAECA 2023; Virtual, Online; India; 16 June 2023 through 17 June 2023(Scopus)
2. V.Saranyah, Dr.N.Suganthi,” Survey on BlockChain Technology and Key Management for data security” in AICTE International e-conference conducted by Department of Information Technology and department of Biotechnology, Kumaraguru College of Technology, Coimbatore on 6th & 7th November 2020. |
| 9 | Dr. N. Suganthi | S.Sangeetha | 19244697280 | 1. Sangeetha,S. Suganthi ,N. (2023). Intelligent Predictive Analytics in Farming using IoT in Big data. Sustainable Digital Technologies for Smart Cities: Healthcare, Communication, and Transportation. CRC Press, ( pp. 112-122). eBook ISBN9781003307716
2. S.Sangeetha, Dr.N.Sugnathi, “Intelligent Predictive Analytics in Farming using IoT and Big Data” at Indo-Israel International Joint Conference on Sustainable Cities, Kumaraguru College of Technology, pp.12, 2020.
|
CSE Research Centre Affiliation details
Patent
The CSE department’s impressive patent achievements reflect its dedication to innovation, research excellence, and technological advancements.
| S.NO | Academic Year | No. Of Patent | Details |
| 1 | 2024-2025 | 1* | View Details |
| 2 | 2023-2024 | 3 | |
| 3 | 2022-2023 | 4 |
- International Conference on the Use of Generative AI Technology in Tamil Language Processing.
- Second IEEE International Conference on Advancements in Electrical, Electronics, Communication, Computing, and Automation (ICAECA 2023), Publication Chair, Track chair by department for managing the publication process and ensuring the timely indexing of papers in IEEE Xplore and Scopus.
- INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE & DATA ANALYTICS, INTERNET OF THINGS, CYBER SECURITY (ICAIC‘22) Was Conducted By CSE.
- A Track on ‘Smart city applications’ was taken over by CSE dept. in the Indo – Israel International Joint Conference on Sustainable Cities (IICSC-20) that was organised during 29 & 30 January 2020. Around 30 papers were presented by both internal and external participants.
- International Conference on Science Technology Engineering and Products – ISTEP was conducted during 18 to 19, Aug 2017.It served as a platform for faculty and students to present the results of their research findings to the scientific community. 20 papers were presented by CSE faculty, which were later published in a Scopus indexed journal.
- First International conference on Science, Technology, Engineering and Management – ISTEM18 was organised during 10 to 12, June 2018. It presented the advancements and latest developments in mathematics, computer, social science and management fields. 46 papers were presented by CSE faculty in this conference.
- Second International Conference on Science, Technology, Engineeringand Management – ISTEM19 – was organized during 15 to 16 Feb 2019. It served as a venue for networking with national and international experts in science, engineering and management. 33 papers were presented by CSE faculty in this conference.
- National Conference on “Advanced Trends in Information and Computing Sciences” on 04 April, 2014.
- International Conference –( IEEE sponsored ) on “Intelligent Interactive Systems and Assistive Technologies+ -IISAT13 – on 2-3 August,2013 jointly with Department of IT.
- National Conference on “Computational paradigm” in 29 July, 2012.
Department Association
The Department Association (DA) of CSE is a student-led body that follows a structured framework to oversee the selection of office bearers, establish guidelines, and approve the annual activity calendar and budget for departmental events. Headed by the President, the DA comprises various key positions, including the Vice President, Treasurer, Secretary, Joint Secretary, Alumni Coordinator, and other coordinators, each entrusted with responsibilities such as financial management, event coordination, student engagement, research initiatives, and alumni relations. The association plays a crucial role in nurturing leadership, academic growth, career development, and extracurricular involvement, fostering a holistic learning environment for students. For more information refer to the document.
| Year | Number of Events | Event Summary |
| 2024-2025 | 5* | View Event |
| 2023-2024 | 16 | View Event |
| 2022-2023 | 11 | View Event |
Student Highlights
PLACEMENT STATISTICS
The Department of Computer Science and Engineering has consistently achieved outstanding placement results, with top offers reaching ₹40 LPA. Over the past four years, students have secured exceptional career opportunities in leading companies, with many excelling in higher studies and entrepreneurship. Our strong industry collaborations and skill-driven approach continue to empower students for a bright future.
| Academic Year | Total No. of Students | Total Placed | Higher studies | Entrepreneur | Salary Package |
| 2024-2025* | 138 | 71* | – | – | Max-40L Min-4L |
| 2023-2024 | 124 | 85 | 19 | 1 | Max-17.5L Min-2.4L |
| 2022-2023 | 125 | 100 | 9 | 1 | Max-17.5L Min-3.5L |
| 2021-2022 | 134 | 110 | 9 | 1 | Max-21L Min-2.4 L |
Renowned Universities, where our students are doing Masters
- University of Birmingham
- Purdue University
- National University of Singapore
- ICFAI Business School, Hyderabad
- Rutgers University
- Trinity College Dublin
- Dublin City University
- Adelaide university Australia
- Heriot Whatt University
- Indian Institute of Information Technology, Tiruchirappalli
- University of Mumbai
- University of Adelaide university
- Deakin University
- IBS Hyderabad
- Birla Institute of Technology and science
- UCD Dublin University
- Vellore Insitute of Technology
INTERNSHIP DETAILS
The Computer Science and Engineering department is dedicated to producing career-focused graduates who are prepared for the demands of the industry through innovative practices. As part of this commitment, students are actively encouraged to pursue internships with various companies, providing them with invaluable exposure to real-world industrial environments—experiences that cannot be fully replicated in a classroom setting. These internships enable students to explore diverse opportunities to learn, enhance, and refine the practical technical and managerial skills essential for success in their future careers, ultimately shaping them into industry-ready professionals. Internships offer students several key benefits, including:
- Real-world experience: Students gain hands-on, practical skills that bridge the gap between academic learning and industry demands.
- Career clarity: Students can able to assess whether the industry or role aligns with their long-term goals and interests.
- Professional growth: Students can develop essential skills like communication, teamwork, and problem-solving in a workplace setting.
- Networking opportunities: Build connections with industry professionals and expand their career network.
- Resume boost: Students can enhance their resume with relevant experience, making them a stronger candidate for future job opportunities.
Recognizing the numerous benefits of internships and ensuring students are fully engaged and gain value from these experiences. The goal is to ensure that students not only acquire new skills but also enrich their knowledge, aligning their internship experience with academic progress and career development.
Internship statistics of past batches:
| Batch | Year | No.of Internships |
|---|---|---|
| 2021-2025* | 2024-2025* | 61* |
| 2020-2024 | 2023-2024 | 51 |
| 2019-2023 | 2022-2023 | 69 |
| 2018-2022 | 2021-2022 | 80 |
| 2017-2021 | 2020-2021 | 76 |
| 2016-2020 | 2019-2020 | 65 |
| 2015-2019 | 2018-2019 | 71 |
| 2014-2018 | 2017-2018 | 66 |
| 2013-2017 | 2016-2017 | 05 |
| 2012-2016 | 2015-2016 | 24 |
| 2011-2015 | 2014-2015 | 43 |
List of MoU with industries and Academic collaboration
| Academic Year |
Name of the company |
MoU Signed Month & Year |
Valid up to |
|
2024-25 |
Infosys Limited | Dec-2023 | Dec-2028 |
| Rochester Institute of Technology | Nov-2022 | Nov-2027 | |
| Samsung R&D Institute India- Bangalore Pvt. Ltd., | Aug-2023 | Aug-2026 | |
| Information Data Systems Inc. | Apr-2023 | Apr-2026 | |
| Cyber Intelligence Academy | May-2023 | May-2026 | |
| Check Point Software Technologies Ltd., | Dec-2024 | Dec-2025 | |
| Thoughtworks Technologies (India) Private Limited | Jan-2024 | Jan-2025 | |
| Wise Work, Wiseverse Innovations Pvt Ltd | Nov-2023 | Nov-2026 | |
| Roche Products (India) Pvt. Ltd. | Aug-2023 | Aug-2026 | |
| Game Developer Association of India (GDAI) | Nov-2024 | Nov-2027 | |
| Experiential Technology Innovation Centre (XTIC) | Nov-2024 | Nov-2027 | |
|
2023-24 |
Infosys Limited | Dec-2021 | Dec-2023 |
| Rochester Institute of Technology | Nov-2022 | Nov-2027 | |
| Samsung R&D Institute India- Bangalore Pvt. Ltd., | Aug-2023 | Aug-2026 | |
| Information Data Systems Inc. | Apr-2023 | Apr-2026 | |
| Cyber Intelligence Academy | May-2023 | May-2026 | |
| Check Point Software Technologies Ltd., | Dec-2023 | Dec-2024 | |
| Wise Work Innovations Pvt Ltd | Nov-2023 | Nov-2026 | |
| Roche Products (India) Pvt. Ltd. | Aug-2023 | Aug-2026 | |
|
2022-23 |
Infosys Limited | Dec-2021 | Dec-2023 |
| Rochester Institute of Technology | Nov-2022 | Nov-2027 | |
| Samsung R&D Institute India- Bangalore Pvt. Ltd., | Aug-2020 | Aug-2023 |
MoU activities
| S.No | Name of the company | Activity Report |
| 1 | Infosys Limited | View |
| 2 | Rochester Institute of Technology | View |
| 3 | Samsung R&D Institute India- Bangalore Pvt. Ltd., | View |
| 4 | Information Data Systems Inc. | View |
| 5 | Cyber Intelligence Academy | View |
| 6 | Check Point Software Technologies Ltd., | View |
| 7 | Thoughtworks Technologies (India) Private Limited | View |
| 8 | Wise Work Innovations Pvt Ltd | View |
| 9 | Roche Products (India) Pvt. Ltd. | View |
| 10 | Game Developer Association of India (GDAI) | View |
| 11 | Experiential Technology Innovation Centre (XTIC) | View |
ProtoSem is a 20-week full semester immersion fellowship offered as a comprehensive skills and competency development program that embeds an innovation-centered approach to engineering education right into the core of the engineering curriculum.
This first-of-its-kind program offers expert training, tech & innovation mentoring, adaptive learning, tinkering, rapid prototyping and exploration apart from tools & creative technologies covering IoT sensors & networks, 3D printing, desktop fabrication, industrial automation, robotics, low-volume electronics manufacturing & assembly, artificial intelligence & machine learning, big data analytics, cloud computing etc.
ProtoSem is offered by KCT in partnership with Forge and has enabled 300+ students with the necessary skills and competencies to solve real-world problems and develop tech-enabled solutions for the needs of industries, corporations, startups, and society.
Guided by the mantra “Innovation for skills & competencies, leads to the innovation for employability leading to innovation for entrepreneurship”, the program imparts sound practical as well as conceptual knowledge through co-creation opportunities with experts, mentors, and practitioners, which has proven to enhance the employability of the students across sectors and sets the students towards an accelerated career path.
ProtoSem is offered in three different variants – Industrial Digital Technologies, Future Mobility and Autonomous systems and provides great leverage & access to the enormous talent pool for companies, building a strong Industry-Academia Partnership in the areas of emerging technologies.
To know more or contribute – www.protosem.tech
No.of students benefited from CSE department are as follows:
| Duration | Protosem Batch | No.of students |
|---|---|---|
| July – June 2024-2025 | Protosem 1.14 | 2 |
| July – June 2023-2024 | nil | – |
| July – June 2022-2023 | Protosem 22.2 | 4 |
| July – Dec 2021 | Protosem 21.2 | 1 |
| Feb – June 2021 | Protosem 21.1 | 9 |
| Sep – Jan 2020 | Protosem 20.2 | 5 |
| Jan – July 2020 | Protosem 20.1 | 6 |
| July – Dec 2019 | Protosem 19.2 | 5 |
| Jan – June 2019 | Fellowship | 3 |
| Jan – June 2019 | Protosem 19.1 | 12 |
| July – Dec 2018 | Protosem 18.2 | 3 |
| July – Dec 2017 | Protosem 17.1 | 5 |
| Total | 55 | |