
Prof. Anu V Kottath
Assistant Professor
Department of Computer Science & Engineering
Mobile Number: +91 8281669490
Email: anuvkottath@sjcetpalai.ac.in
Sl.No | Qualification | Institution | Specialization | Year of Passing |
---|---|---|---|---|
1 | Ph.D. | Hindustan University, Chennai, Tamilnadu. | Deep Learning | Pursuing |
2 | M.Tech | St.Joseph’s College of Engineering and Technology ,Palai | Computer Science & Engineering | 2019 |
3 | B. Tech | St.Joseph’s College of Engineering and Technology ,Palai | Computer Science & Engineering | 2017 |
Name of the College / Industry | Designation | Date of Joining | Date of Relieving |
---|---|---|---|
Kottayam Institute of Technology &Science,Chengalam,Kerala | Assistant Professor | August 1,2019 | October 29,2021 |
St. Joseph's College of Engineering & Technology, Palai | Assistant Professor | November 1,2021 | till date |
Sl. No | Name of Institution | Type of Membership | Membership ID |
---|---|---|---|
1 | Internet Society | Life Time | 2246642 |
- Anu V Kottath, and et al:”RyLang: An AI-Driven Roadmap and Real-Time Conversational Approach to Language Learning”,*International Journal of Information and Electronics Engineering*,Vol.15,No.6,June2025.Doi:10.48047/ijiee.2025.15.6.1170.
- Anu V Kottath, “PoxTLNet50: Deep Learning-based Approach for Accurate Image Detection of Monkeypox Disease,” *Journal of Innovative Image Processing*, 2024. (Scopus Indexed).
- Anu V Kottath, “Image Preprocessing Techniques in Skin Diseases Prediction using Deep Learning: A Review,” *IEEE Digital Library*, 2023. (Scopus Indexed)
- Anu V Kottath, and et al: “A Review on Comparison of VGG-16 and DenseNet Algorithms for Analyzing Brain Tumor in MRI Image,” *International Journal on Emerging Research Areas*, 2023.
- Anu V Kottath, and et al: “Malware Classification Framework Based on Deep Learning,” *International Journal on Emerging Research Areas*, 2023.
- Anu V Kottath, “Comparison of Deep Learning Models for Monkeypox Disease Detection,” *IEEE Digital Library*, 2023 (Scopus Indexed).
- Anu V Kottath,Prince V Jose”DIBSM: Dominance on Incomplete Big data Using Scoring method” *Lecture Note on Data Engineering and Communications Technologies,* Springer, 2021 vol 59, ISSN 2367-4512 (Scopus Indexed).
- Anu V Kottath, Prince V Jose “Review on Finding Dominance on Incomplete Big Data,” *Proceedings of the International Conference on Trends in Electronics and Informatics (ICOEI), IEEE Digital Library*, 23–25 April 2019. (Scopus Indexed)
- Anu V Kottath, Angitha George “GERP: A Grid Based Efficient Routing Protocol for WSN,”* Proceedings of the International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET), IEEE Digital Library*, 2 September 2019 (Scopus Indexed).
- Anu V Kottath, “A Review on Various Steps in Apple Fruit Grading,” *International Journal of Computer Sciences and Engineering*, vol. 6, no. 7, pp. 26–30, September 2018
- Presented a paper entitled “GERP:A Grid based Efficient Routing Protocol For WSN” IEEE International Conference On Circuits and System in Digital Enterprise Technology (ICCSDET’18) organized by Saintgits College of Engineering, Kottayam Kerala on 21st and 22nd December 2018.
- Presented a paper entitled “A Review On Various Steps In Apple Fruit Grading” International Conference on Digital Image Processing and Biomedical Informatics (SAPIENCE’18) organized by Sree Narayana Gurukulam College of Engineering Kadayirippu, Kerala on 27st and 28nd September2018.
- Presented a paper entitled “Review on finding dominance on incomplete big data” IEEE 3 rd international conference on Trends in Electronics(ICOEI 2019) organized by SCAD college of engineering and technology Tamil Nadu on 23-25 April 2019.
- Presented a paper entitled “DIBSM: Dominance on Incomplete Big data Using Scoring method” International Conference on Intelligent Computing and Control Systems [ICICCS 2019] to be held on15-17 May 2019 at Vaigai College of Engineering, Madurai, Tamil Nadu, India.
- Participated one week KTU Sponsored FDP(Faculty Development Program) on Artificial intelligence and Data science organized by Rajagiri School of Engineering and Technology,Kochi from 08 to 12 February 2021.
- Participated 6 day FDP on Applications of Artificial intelligence and IOT in Engineering organized by college of Engineering ,Perumon from 01 to 06 February 2021.
- Participated Webinar on Future with Artificial intelligence organized by ICCS College of Engineering ,Thrissur.
- Completed one week AICTE – ISTE approved FDP on Out come based education in Professional Institutions organized by St Josephs college of Engineering and Technology, palai held on 27 December 2021- 1 January 2022.
- Completed IET Sponsored 3 days Training Program on “Virtual Reality and Augmented Reality” organized by Hindustan Institute of Technology and Science , Chennai held on 9 March 2022- 11 March
- Completed 3 Day FDP on “Artificial Intelligence And Data Science” Organized By Department of Computer Science & Engineering, Sree Narayana Gurukulam College of Engineering, From 17th to 19th march 2022.
- Completed AICTE sponsored 5 Day Training Programme on “High-Performance Computing and Deep Learning for Image and Text Analysis ” organized by the Department of Computer Science and Engineering, Mar Baselios College of Engineering and Technology scheduled from 21 March 2022 to 25 March 2022.
- Participated in TEQIP- II sponsored three days online FDP on “Demystifying Cyber Security” from 29-08-2022 to 31-08-2022 organized by Department of Computer Science & Engineering, College of Engineering Karunagappally.
- Participated in IP Awareness/Training program under National intellectual property Awareness mission, on February 28,2023 organized by intellectual property rights India.
- Participated in webinar on “Art of writing a research paper” held on 23rd DEC, 2022.
- Presented the research paper entitled “Comparison Of Deep Learning Models for Monkeypox Disease Detection” in the First International Conference on Advances in Electrical, Electronics and Computational Intelligence (ICAEECI 2023) held at K.S.R. College of Engineering, Tiruchengode, Tamil Nadu, India during 19 – 20, October 2023. The conference has been organized by the department of Electrical & Electronics Engineering, K.S.R. College of Engineering.
- Participated in KTU sponsored 5 days FDP on Blockchain Technology and its Applications, at, Our Institution from 16thJanuary 2023–20thJanuary 2023 .
- One Week National Level Faculty Development Program on Societal Applications of Machine Learning from 26-30 December 2022 organized by the department of CSE at Shri Vishnu Engineering College for Women (A), Bhimavaram
- Completed Microsoft. SAP & AICTE led FDP on AI Evolution: From Foundations to Generative AI under Tec Saksham from 22nd January 2024 to 29th January 2024.
- Attended One Week Faculty Development Program (FDP) on “Deep Learning and it’s Applications” organized by Department of Computer Engineering in association with IEEE Pune Section, IEEE Computer Society Pune Chapter and Computer Society of India Student Chapter from 3Oth January 2023 to 4th February, 2023 at MMCOE, Karvenagar, Pune.
- Attended One Week Faculty Development Program on “Visual Intelligence: Exploring Image processing and Computer Vision “Department of Computer Science and Engineering in association with Computer Society of India (CSI)-SB CVR College of Engineering, Hyderabad from 26th March to 30th March 2024.
- Participated in 5-Days International FDP on Unleashing Emerging Research Trends and Advancements in Computer Science 2.0, organised by School of Computer Science and Engineering, VIT-AP University, Amaravati from 24th July to 28th July 2023.
- Participated in the webinar on “Brain-Computer Interface and Its Applications” delivered by Dr. Ghanahshyam Kshirsagar from Civic A.I. Lab, Northeastern University, Boston, USA and organized by Amrita School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Bengaluru, India on 29th October 2023.
- Participated in the One-week national level faculty development program on cloud infrastructure, Organized by Christ villager of Engineering and Technology Pondicherry in collaboration with BrainoVision Solutions, India Pvt Ltd And all India Council for. Technical education, AICTE. During the period of 21- 25 August 2023
- Participated in 5 Days Faculty Development Program on “Recent Trends in Artificial Intelligence and Machine Learning for Smart Computing” organized by Department of Computer Application and Science, Institute of Engineering & Management, Kolkata, technically Sponsored by Computer Society of India(CSI), Kolkata Chapter conducted from 9th October – 13th October 2023.
- Participated in 5days National Virtual FDP on “Integrating NEP 2020 into Higher Education: Strategies for Faculty Development and Curriculum Innovation” held from 02.09.2024 to 06.09.2024 organized by Department of Business Administration (UG) & Department of Commerce (IB), Hindustan College of Arts & Science (Autonomous), Coimbatore-641028
- Participated in 7-days AICTE Training and Learning (ATAL) Academy FDP on “Artificial Intelligence in Data Science Applications”, at Muffakham Jah College of Engineering and Technology, Hyderabad, from 13th to 19th December 2024.
- Participated in 6-days AICTE Training and Learning (ATAL) Academy FDP on “The future of Quantum computing and High- performance computing (HPC)”, at P.S.V. College of Engineering and Technology, Chennai, from 23rd to 28th December 2024.
- Participated in International Symposium on “Developments in Artificial Intelligence & Humanoid Technology and their Impact on Contemporary India: Promises and Perils” in association with IISR , New Delhi. at St. Joseph’s College of Engineering and Technology, Palai, from January 2nd to 4th, 2025
- Presented a paper entitled “Insightify: An AI Based Mock Interview Platform” at the 3rd International Conference on Intelligent Techniques in Computer and Engineering Science (ITCES’25) organized by Computer Society of India- SB in association with Department of Computer Science and Engineering, College of Engineering Perumon, Kollam, Kerala held on 10th and 11th March 2025.
Sl. No | Details of the FDP/STTP | Remarks |
---|---|---|
1 | Participated one week KTU Sponsored FDP(Faculty Development Program) on Artificial intelligence and Data science organized by Rajagiri School of Engineering and Technology,Kochi from 08 to 12 February 2021. | Sponsored by KTU |
2 | Participated one Week FDP on Applications of Artificial intelligence and IOT in Engineering organized by college of Engineering ,Perumon from 01 to 06 February 2021. | |
3 | Completed one week AICTE – ISTE approved FDP on Out come based education in Professional Institutions organized by St Josephs college of Engineering and Technology, palai held on 27 December 2021- 1 January 2022. | Sponsored by AICTE |
4 | Completed AICTE sponsored one week Faculty Training Programme on "High-Performance Computing and Deep Learning for Image and Text Analysis " organized by the Department of Computer Science and Engineering, Mar Baselios College of Engineering and Technology scheduled from 21 March 2022 to 25 March 2022. | Sponsored by |
5 | Completed IET Sponsored 3 days Training Program on "Virtual Reality and Augmented Reality" organized by Hindustan Institute of Technology and Science , Chennai held on 9 March 2022- 11 March 2022. | Sponsored by |
6 | Completed 3 Day FDP on “Artificial Intelligence And Data Science”Organized By Department of Computer Science & Engineering, Sree Narayana Gurukulam College of Engineering, From 17th to 19th march 2022. | |
7 | Participated Webinar on Future with Artificial intelligence organized by ICCS College of Engineering ,Thrissur. |
- Completed 3-month online certification Course on Data Science for Engineers Conducted by IIT Madras and certified by NPTEL.
- Completed Share Latex online certification course conducted by IITBombay.
- Completed course on “Implementing Deep Learning: Optimized Deep Learning Applications” offered by Infosys Springboard on 25th November 2024.
- Completed course on “Introduction to Artificial Intelligence” offered by Infosys Springboard on 25th November 2024.
- Completed course on “Deep Learning Tutorials “offered by Infosys Springboard on 26th November 2024.
- Completed course on “Deep Learning With Keras “offered by Infosys Springboard on 2nd June 2025.