Faculty

Dr. Sumesh Divakaran

Professor & Head

Dr. Salim A

Professor

Ph No : 9446200401

Email : salim@cet.ac.in

Qualifications

Ph. D in Computer Science & Engineering, University of Kerala
M. Tech. in Computer Science, National Institute of Technology (NIT), Tiruchirappalli, Tamilnadu
B. Tech. in Computer Science & Engineering, TKM College of Engineering, Kollam ( University of Kerala)

Professional Experience

1. Currently working as Professor & HOD, Department of Computer Science & Engineering, College of Engineering Trivandrum

2.Worked as Associate Professor, Department of Computer Science & Engineering, College of Engineering Trivandrum since Feb. 2013

3.Worked as Associate Professor, Department of Computer Science & Engineering, Government Engineering College Sreekrishnapuram, Palakkad from June 2009 to Jan 2013

4.Worked as Lecturer, in Government Engineering Colleges (Aug 2001 – June 2009)

5.Worked as Lecturer, Government Polytechnics (Mar. 1995 – Aug 2001).

Areas of Interest

Machine Learning
Data Mining
Bioinformatics

Recently taught courses

Database Technology
Machine Learning
Database Management Systems
Data Mining and Warehousing

Publications

	Journal	Conference
National	-	2
International	2	15

Responsibilities held

Technical committee Co-chair, International Conference on Control, Communication and Computing (IC4-2018). Organizing committee member of IC4-2013 and IC4-2015.
Accreditation coordinator of Department of CSE, College of Engineering Trivandrum
Worked as member of board of studies (computer Science and Engineering) of University of Calicut.
Worked as Placement Coordinator, Government Engineering College Sreekrishnapuram (2009- 2012)
Worked as Expert Member of University inspection team for affiliation various courses (2012).
Worked in technical committees of several Government / Government Controlled agencies

Faculty Development Programmes Coordinated

Linux networking and Administration, Government Engineering College Thrissur (2006)
Research Document Preparation Using Latex, College of Engineering Trivadrum (Dec. 2013)
Machine Learning Algorithms and Tools, College of Engineering Trivadrum (Jan. 2015)
Algorithms in Machine Learning, College of Engineering Trivadrum (Dec. 2018)

Invited Talks

Delivered a number of expert lectures in Faculty Development Programmes organized by Engineering Colleges and Universities

List of Publications

Salim A, Vinod Chandra SS, Association rule based frequent pattern mining in biological sequences, Computational Intelligence and Computing Research (ICCIC), 2013
A. Salim, Vinodchandra SS, Computational Prediction of microRNAs and their Targets, Journal of Proteomics and Bioinformatics, 7, 2014, 193-202
P V Shijo, A. Salim, Integrated Static and Dynamic Analysis for Malware Detection, Procedia Computer Science, 46, 2014, 804-811
Roney Thomas, Salim A, A novel decentralized group key management using attribute based encryption, Computational Systems and Communications (ICCSC), 2014
K A Sumaira, Salim A, A Walk Through the RNA Motif Discovery Algorithms, 15th National Conference on Technological Trends, College of Engineering Trivandrum, 22-23 August 2014.
K A Sumaira, Salim A, VinodChandra SS, SVM-Based Pre-microRNA Classifier Using Sequence, Structural, and Thermodynamic Parameters, Volume 404 of the series Advances in Intelligent Systems and Computing pp 57-67
Amitha P. Gopinath, Salim A. An Approach for Faster Processing of Top-k Spatial Keyword Queries, 2015 International Conference on Control, Communication & Computing India (ICCC) | 19-21 November 2015, Trivandrum
Seethal Varghese, Salim A., Vinodchandra S.S. microRNA Binding Site Scoring Model, 2015 International Conference on Control, Communication & Computing India (ICCC) | 19-21 November 2015, Trivandrum.
Salim A, Amjesh R, Vinod Chandra S S, “SVM Based Lung Cancer Prediction Using microRNA Expression Profiling from NGS Data”, Lecture Notes in Computer Science, Springer (ISSN:0302-9743), Vol.9621, Pages. 544-553, March 2016
Salim A, Amjesh R, Vinod Chandra S S, “An improved algorithm for microRNA profiling from next generation sequencing data”, Lecture Notes in Computer Science, Springer(ISSN:0302-9743), Vol.9714, Pages. 38-47, June 2016
Nithya S., Salim A. (2017) Dimensionality Reduction by Distance Covariance and Eigen Value Decomposition. Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore
Deepta K.P., Salim A. (2017) Detecting Malwares Using Dynamic Call Graphs and Opcode Patterns. Advances in Computing and Data Sciences. ICACDS 2016. Communications in Computer and Information Science, vol 721. Springer, Singapore
Salim A, Amjesh R, Vinod Chandra S S An approach to forecast human cancer by profiling microRNA expressions from NGS data, BMC Cancer (2017)17:77
Jisna Joseph, Salim A Privacy Preserving Data Utility Mining Using Perturbation, International Conference on Distributed Computing and Internet Technology (2018) 112-120, Springer
Amala Paul, Salim A, A Comparative Study of Text Summarization, 18th National Conference on Technological Trends, College of Engineering Trivandrum, July 2017.
Jisna J., Salim A. (2018) Privacy Preserving Data Utility Mining Using Perturbation. Lecture Notes in Computer Science, vol 10722. Springer (2018)
Nimmy Krishnan, Salim A, Machine Learning Based Intrusion Detection For Virtualized Infrastructures, International Conference on Control, Communication & Computing India (IC4-2018) | 5-7 July 2018, Trivandrum

Vipin Vasu A V

Assistant Professor

Dr. Saritha R

Assistant Professor

Rajasree R.

Assistant Professor

Dr. Piyoosh P

Assistant Professor

Assistant Professor

Department of Computer Science and Engineering

College of Engineering, Trivandrum

Trivandrum, Kerala-695016.

E-mail: piyooshp@cet.ac.in

Research Interests:

Real-time and Embedded Systems
Energy-aware Computing
Fault-tolerant Computing
Cloud Computing
Internet of Things (IoT)

Education:

Ph.D. Computer Science and Engineering, Indian Institute of Technology Guwahati. (Research Advisors: Dr. Arnab Sarkar and Dr. Santosh Biswas)

M.Tech. Computer Science and Engineering, Indian Institute of Technology Guwahati. (Research Advisors: Dr. Arnab Sarkar and Dr. Santosh Biswas)

B.Tech. Information Technology, University College of Engineering, Trivandrum, University of Kerala.

Experiences:

Assistant Professor – College of Engineering Trivandrum (CET) [06/09/2019 onwards]
Assistant Professor – Government College of Engineering, Kannur (GCEK) [07/01/2019 – 05/09/2019]
Researcher/Teaching Assistant – Indian Institute of Technology Guwahati (IITG) [July, 2012 – Jan, 2019]

Publications:

Piyoosh Purushothaman Nair, Arnab Sarkar, Santosh Biswas, “Fault-tolerant Real-time Fair Scheduling on Multiprocessor Systems with Cold-standby”, IEEE Transactions on Dependable and Secure Computing ( Early Access ), 2019. DOI:10.1109/TDSC.2019.2934098.
Piyoosh Purushothaman Nair, Santosh Biswas, Arnab Sarkar, ” Design of light weight exact discrete event system diagnosers using measurement limitation: case study of electronic fuel injection system”, International Journal of Systems Science, Taylor and Francis, 49 (8), 1760-1783, 2018.
Piyoosh Purushothaman Nair, Rajesh Devaraj, Arnab Sarkar, ” FEST: Fault-Tolerant Energy-Aware Scheduling on Two-Core Heterogeneous Platform”, 8th International Symposium on Embedded Computing and System Design, 2018 (IEEE ISED 2018).
Piyoosh Purushothaman Nair, Rajesh Devaraj, Argha Sen, Arnab Sarkar, Santosh Biswas, ” DES based Modeling and Fault Diagnosis in Safety-critical Semi-Partitioned Real-time Systems”, IFAC World Congress, IFAC-PapersOnLine 50 (1), 5029-5034, 2017.
Piyoosh Purushothaman Nair, Arnab Sarkar, N.M. Harsha, M. Gandhi, P.P. Chakrabarti, S. Ghose, ” ERfair Scheduler with Processor Suspension for Real-Time Multiprocessor Embedded Systems”, ACM Transactions on Design Automation of Electronic Systems (ACM TODAES), 22 (1), 19, 2016.
K Chauhan, Piyoosh P, Arnab Sarkar, Santosh Biswas, ” A priori overload handling in ERfair scheduled embedded systems: Hybrid automata approach”, Annual IEEE India Conference (INDICON), 1-6, 2014.

Professional Achievements:

Research Paper Reviewer for:

Conference:

VLSI Design Conference (VLSID) 2017, 2020 (4 articles); VLSI Design And Test (VDAT) 2016, 2017 (5 articles); IFAC World Congress, 2017 (1 article); IEEE ISED 2018 (1 article); IEEE CoDIT 2019 (2 articles).

Journal:

IEEE Transactions on Systems, Man, and Cybernetics: Systems

TCS Research Scholar Program (RSP) Scholarship, TATA Consultancy Services (TCS), for the period July, 2015 to June, 2019.
National Doctoral Fellowship from AICTE, Min. of HRD, Govt. of India, for the period July, 2014 to June, 2019.
GATE Qualified – GATE 2011 (CS), GATE 2012 (CS)

Presentations/talks:

IFAC 2017 World Congress | The 20th World Congress of the International Federation of Automatic Control, 9-14 July 2017, Toulouse, France.
The 8^th International IEEE Symposium on Embedded computing and system Design (ISED), 13-15 December, 2018, CUSAT, Kerala, India.

Thania Kumar

Assistant Professor (AdHoc)

Reshma P

Assistant Professor(Adhoc)

Achu Mariyam John

Assistant Professor (Adhoc)

ANUSHA B

ASSISTANT PROFESSOR (ADHOC)

ANUSHA B

ASSISTANT PROFESSOR (ADHOC)

COMPUTER SCIENCE AND ENGINEERING

COLLEGE OF ENGINEERING, TRIVANDRUM

Ph:9489890950

Email: banusharaj@cet.ac.in

Qualification

Qualification	Specialization	University	Year
ME	Computer Science and Engineering	Anna University	2016
BE	Computer Science and Engineering	Anna University	2014

Professional Experience

Teaching :4 months

Assistant Professor (Adhoc) in College of Engineering, Trivandrum.

[Nov 2020 to Mar 2021]

Subjects Handled

Number Theory and Cryptography
Life Skills

Areas of Interest

Image Processing
Machine Learning
Deep Learning
Data Mining
Bio-Informatics

List of Publications

Anusha, B (2021). Identification of gene variant associated with Parkinson’s disease using genomic databases. Journal of Ambient Intelligence and Humanized Computing, 1-14.
Anusha, B (2021). Modeling of TST Using Biological Signals and KL-Hausdorff Distance Similarity Measure for Gene Based Parkinson’s Disease Recognition. Journal of Medical Imaging and Health Informatics, 11(10), 2566-2572.
Anusha, B (2018). Biomedical voice based parkinson disorder identification for homosapiens. In Computational vision and bio inspired computing (pp. 641-651). Springer, Cham.
Anusha, B (2018) Detection of Parkinson Disease in Homo Sapiens using Supervised Approach. 60th International conference on Innovation for Next Generation, IOSRD, 60, 50-57.
Anusha B (2018) Detection of Parkinson Disease in Homo Sapiens using Supervised Approach. Journal of Alzheimers Disease & Parkinsonism, Volume 8, DOI: 10.4172/2161-0460-C2-040
Anusha, B., Sabena, S., & Sairamesh, L. (2017). Optimized Food Recognition System for Diabetic Patients. In International Conference on Next Generation Computing Technologies (pp. 504-525). Springer, Singapore.
Sabena, S., Kalaiselvi, S., Anusha, B., & Ramesh, L. S. (2016). An Multi-Label Classification with Label Correlation. Asian Journal of Research in Social Sciences and Humanities, 6(9), 373-386.
Leo, A. A., & Anusha, B (2016). Certifying Truthfulness using a Light-Weight Security System in Clustered Wireless Sensor Networks. In International Journal for Scientific Research & Development, 4(3), 1339-1343.
Anusha B, Ashin Leo AB (2016). Comparison of Various Classifiers over Type I and Type II Diabetic Food Recognition System. Global Research and Development Journal for Engineering, 1(6), 48-57.
Anusha B, Ashin Leo AB TYPE I and TYPE II Diabetic Food Recognition System using Bayesian, SVM, Parzen Window, ANN classifiers. International Journal of Digital Image Processing, 8(3).

BHAGYA B

ASSISTANT PROFESSOR (ADHOC)

Sreelal S.

Associate Professor

Deepthi V. R.

Assistant Professor

Rani Koshy

Assistant Professor

Preethi L.

Assistant Professor

Dr. Dhanya S Pankaj

Assistant Professor

NAME :	DR. DHANYA S PANKAJ
DESIGNATION :	ASSISTANT PROFESSOR
PHONE :	9544165044
EMAIL :	dhanya.iist@gmail.com
PAN :	ALDPD3323M
AADHAR NUMBER :	920473155559
QUALIFICATIONS :
B. TECH.	COMPUTER SCIENCE AND ENGINEERING	COLLEGE OF ENGINEERING TRIVANDRUM
M. TECH.	COMPUTER SCIENCE	DEPT. OF COMPUTER SCIENCE, UNIVERSITY OF KERALA, KARIAVATTOM CAMPUS.
PhD.	COMPUTER SCIENCE	INDIAN INSTITUTE OF SPACE SCIENCE AND TECHNOLOGY, THIRUVANANTHAPURAM
AREA OF INTEREST:	IMAGE PROCESSING
	COMPUTER VISION
	MACHINE LEARNING
PROFESSIONAL EXPERIENCE:
TEACHING:	Assistant Professor, College of Engineering, Trivandrum from Oct 2019 till date.
	Lecturer in Computer Engineering, Govt. Women’s Polytechnic College, Kaimanam, Thiruvanathapuram from December 2017 to Sept 2019.
	Lecturer in Computer Engineering, Govt. Polytechnic College, Nedumangadu, Thiruvanathapuram from June 2017 to November 2017.
	Lecturer in Computer Engineering, Central Polytechnic College, Vattiyoorkavu, Thiruvanathapuram from Oct 2015 to May 2017.
	Assistant Professor, Rajagiri School of Engineering and Technology from August 2011 to August 2012
INDUSTRY:	Programmer Analyst, Cognizant Technology Solutions Pvt. Ltd. from 2006 to 2009.
NO. OF PUBLICATIONS:	JOURNAL	CONFERENCE
NATIONAL	0	1
INTERNATIONAL	2	4
TOTAL	2	5
LIST OF PUBLICATIONS:	1. Dhanya S Pankaj, Rama Rao Nidamanuri, “A Robust Estimation Technique for 3D Point Cloud Registration”, Image Analysis & Stereology 35 (1), 15-28, 2016.	Journal
	2. Dhanya S Pankaj, Rama Rao Nidamanuri, “Robust algorithm for multiview registration”,IET Computer Vision 11 (1), 96-103, 2016.	Journal
	3. Dhanya S Pankaj, Rama Rao Nidamanuri, P Bhanu Prasad, “3-D Imaging Techniques and Review of Products”, Proceedings of International Conference on Innovations in Computer Science and Engineering, Hyderabad, 2013
	4. Dhanya S Pankaj, Rama Rao Nidamanuri,Bhanu Prasad Pinnamaneni, “ProLoSAC: An Improved RANSAC Algorithm for Pairwise Registration of 3D Point Clouds”, Proceedings of the 2014 Indian Conference on Computer Vision Graphics and Image Processing, IISC Bangalore, ACM, pp30, 2014.
	5. Dhanya S Pankaj, Rama RaoNidamanuri, “Robust multiview registration of point clouds”,Communication Systems and Networks (ComNet), International Conference on, Thiruvananthapuram , IEEE,pp50-55, 2016.
	6. Dhanya S Pankaj, M Wilscy, “Comparison of PCA, LDA and Gabor Features for Face Recognition Using Fuzzy Neural Network”, Advances in Computing and Information Technology, Chennai, India, Springer,pp 413-422, 2012.
	7. Dhanya S Pankaj, M Wilscy, “Face recognition using fuzzy neural network classifier”, International Conference on Parallel Distributed Computing Technologies and Applications, Tirunelveli, Springer,pp 53-62, 2011.
CONFERENCES / SEMINARS ATTENDED:	1. Indian Conference on Computer Vision Graphics and Image Processing, IISC Bangalore, 2014. 2. International Conference on Communication Systems and Networks (ComNet – IEEE), Thiruvananthapuram , 2016. 3. First International Conference on Advances in Computing and Communications, 22-24 July 2011.
SHORT TERM COURSES/ WORKSHOPS ATTENDED:	1. Workshop on Recent development on Neural Networks and Applications, held at IIST, Thiruvananthapuram, Dec 20-22, 2012. 2. 2^nd International Workshop on Computer Vision and Machine Learning, IWCVML -2014 held at IIST, 10-13 Dec 2014. 3. Faculty Development Programme on Robotics held at GPTC, Neyyatinkara, 9^th March 2018. 4. Induction Training Programme for Polytechnic College Lecturers held at Directorate of Technical Education, 27 June to 2 July, 2017.

Leena V A

Assistant Professor

Jipsy Jose

Assistant Professor (Adhoc)

DIVYA S

ASSISTANT PROFESSOR (ADHOC)

KRISHNA A V

ASSISTANT PROFESSOR (ADHOC)

Shine S

Associate Professor

Thara R J

Assistant Professor

Assistant Professor
Mob: +91-8848070377
Department of Computer Science and Engineering
College of Engineering Trivandrum, 695016
Kerala, India
Email: tharaneelima@cet.ac.in

Qualifications
M. Tech., Computer Science & Engineering, College of Engineering Trivandrum (Kerala University)
B. Tech., Computer Science & Engineering, College of Engineering Attingal, IHRD (Cochin University of Science And Technology – CUSAT)

Professional Experience
1. College of Engineering Trivandrum, Kerala State, India; Assistant Professor, Computer Science & Engineering Dept; June 2019 – till date
2. Government College of Engineering, Kannur, Kerala State, India; Assistant Professor, Computer Science & Engineering Dept, February 2019 – June 2019
3. Vikram Sarabhai Space Center (VSSC), Indian Space Research Organization (ISRO), Govt. of India; Scientist, December 2017 – February 2019
4. LBS Institute of Technology for Women, Trivandrum, Kerala State, India; Assistant Professor, August 2015 – December 2017.

Areas of Interest
1. Theoretical Computer Science
2. Probability Theory and Combinatorics
3. Discrete Mathematics
4. Graph Theory and Graph Algorithms

Recently taught courses
1. Logics for Computer Science
2. Switching Theory and Logic Design
3. Design and Analysis of Algorithms

List of Publications
1. Aaditya Sharma, Raj, Thara R J, Manju C R, “Onboard Computer Library Pre-processing Algorithm for In-house developed 32 bit processor KALPANA 3201” in ASEND (Advanced Systems Engineering Concepts for National Development), 42nd National Systems Conference (NSC) – 2018, organized by VSSC/ISRO.
2. Aaditya Sharma, Raj, Thara R J, Manju C R, “Opcode Analyzer Algorithm for in-house developed 32-bit processor” in ASPIRE 2018: National Conference on Emerging Trends in Engineering and Technology for aerospace application, organized by AeSI (Aeronautical Society of India) Kanyakumari branch in association with IPRC, Mahendragiri, ISRO.
3. Thara R J and Shine S., “Optimizing the performance of Database as a Service (DaaS) model- A distributed approach”, Proceedings of Fourth IEEE International Conference on Computing, Communication and Networking Technologies (ICCNT 2013),July 2013.
4. Thara R J and Dr. Rajasree M S., “Survey on recent replica placement algorithms in distributed environment”, Proceedings of First National Conference on Emerging Technologies (NCET 2012),July 2012.
5. Thara R J and Shine S., ” Efficiency Improvement On Grid and P2P networks by Adapting Proper Replica Placement Strategies”, Proceedings of National Conference on Information technology, Communications, and Signal Processing (CISP),March 2013.
6. Thara R J and Shine S., “Optimizing performance of Peer to Peer(P2P) Computing by data replication-A feature wise study”, Proceedings of First National Conference on Advance in Computational Intelligence and Communication Technologies(NCACICT 2013),June 2013.
7. Thara R J and Shine S., “Optimizing grid performance by content replication-A feature wise analysis”, Proceedings of Second National Conference on Emerging Trends In Computing(NCETIC 2012),June 2013.
8. Thara R J and Shine S., ” Improving P2P Performance by Applying Proper Replica Placement Strategies”, International Journal of Advanced Research in Computer Engineering & Technology, February 2013