| Core Discipline | : | Computer Science and Engineering |
| Areas of Expertise | : | Machine Learning, Algorithm Analysis |
| Research Interests | : | Nature Inspired Computed, Health Informatics |
| Academic Experience | : | 9 years |
| Location / Campus | : | Onakkoor (Ernakulam) |
Dr Anand H S is an Associate Professor in the Department of Computer Science at the CVV Institute of Science & Technology. He was the first full-time research candidate who completed PhD from the Department of Computer Science and Engineering at the College of Engineering Trivandrum. Dr Anand has immense teaching and research experience. He has been associated with project from various central government agencies and departments. As an academician, he still plays roles as Board of Studies member, Advisory board member, Chairman of UG exams, Curriculum coordinator of PG studies of various universities and institutes. His research area includes Machine learning, Optimization and Health informatics.
Educational Qualifications
• Ph.D. (CSE) – University of Kerala, Trivandrum, India (2016)
• ME (CSE) – Anna University, Tirunelveli, India (2010)
• B.Tech (CSE) – University of Kerala, Trivandrum, India (2008)
Professional Experience (Research/Teaching/Industry)
• Associate Professor of Computer Science at Chinmaya Vishwa Vidyapeeth (Deemed to be University), Kerala (July 2023 – to date)
• Associate Professor of Computer Science and Engineering at Muthoot Institute of Technology and Science, Kerala (July 2017 – June 2023)
• Assistant Professor of Computer Science and Engineering at Muthoot Institute of Technology and Science, Kerala (May 2015 – June 2017)
• Assistant Professor of Computer Science and Engineering at Heera College of Engineering and Technology, Kerala (May 2011 – May 2012)
• Software Engineer at UST Global, Trivandrum, Kerala (March 2010 – May 2011)
INTERNATIONAL JOURNALS (11)
• Anand, H.S., Sankar, S.S. & Chandra, S.S.V. (2022). Smell Detection Agent Optimization Approach to Path Generation in Automated Software Testing. J Electron Test, 38, 623–636. https://doi.org/10.1007/s10836-022-06033-8 (SCIE/Scopus)
• S, A.H., S S, V. (2022). Real time railway track crack analysis using multi-level classification. Proc.Indian Natl. Sci. Acad. 88, 752–764. https://doi.org/10.1007/s43538-022-00127-9 (E-SCI/Scopus)
• Anand, H.S., Aswathy, A.L. & Chandra, S.S.V. (2022). COVID-19 severity detection using machine learning techniques from CT-images. Evol. Intel. https://doi.org/10.1007/s12065-022-00739-6 (E-SCI/Scopus)
• Anand, H.S., Saritha, R. & Vinod Chandra, S.S. (2022). Many objective optimization algorithm based on mixed species particle flocking. J Ambient Intell Human Comput. https://doi.org/10.1007/s12652-022-03782-4 (SCI)
• Anand, H.S., Aswathy, A.L. & Vinod Chandra, S.S. (2021). COVID-19 diagnosis and severity detection from CT-images using transfer learning and back propagation neural network, Journal of Infection and Public Health, 14(10), 1435-1445. https://doi.org/10.1016/j.jiph.2021.07.015 (SCI)
• Suma, L.S., Anand, H.S. & Vinod Chandra, S.S. (2021). Nature inspired optimization model for classification and severity prediction in COVID-19 clinical dataset. J Ambient Intell Humaniz Comput. 14(3), 1699-1711. https://doi.org/10.1007/s12652-021-03389-1 (SCI)
• S. S., V.C., H. S., A. (2022). Nature inspired meta heuristic algorithms for optimization problems. Computing 104(2), 251–269. https://doi.org/10.1007/s00607-021-00955-5 (SCI)
• Chandra S. S., V., Hareendran S., A. (2021). Phototropic algorithm for global optimisation problems. Appl Intell, 51, 5965–5977. https://doi.org/10.1007/s10489-020-02105-4 (SCI)
• Raji, C.G., Anand, H.S. & Vinod Chandra, S.S. (2017). Computer based prognosis model with dimensionality reduction and validation of attributes for prolonged survival prediction. Informatics in Medicine Unlocked, 9, 93-106. https://doi.org/10.1016/j.imu.2017.07.002 (SCIE)
• Anand, H.S., Vinodchandra, S.S. (2018). Association rule mining using treap. Int. J. Mach. Learn. & Cyber., 9, 589–597. https://doi.org/10.1007/s13042-016-0546-7 (SCIE)
• Anand, H.S. & Vinod Chandra, S.S. (2014). Mining Association Rules Using Improved Frequent-Pattern Growth Algorithm. International Journal of Applied Engineering Research, 9(2), 239-246. (Scopus)
NATIONAL JOURNALS (1)
• Anand Hareendran S., Sonia Mathew, Linta Mathew, Navami Krishna R., Brichu Roy (2018) Auto–Subtitle Generator, Journal of Computer Based Parallel Programming, 1(1), 1-7.
BOOK CHAPTERS (8)
• Hareendran, S.A., S S, V.C., Prasad, S.R., Dhanya, S. (2020). Deep Learning Strategies for Survival Prediction in Prophylactic Resection Patients. In: Tan, Y., Shi, Y., Tuba, M. (eds) Advances in Swarm Intelligence. Lecture Notes in Computer Science, vol 12145, pp. 575-583, Springer, Cham. https://doi.org/10.1007/978-3-030-53956-6_53
• S S, V.C., Anand Hareendran, S., S, S.S. (2020). Optimal Reservoir Optimization Using Multiobjective Genetic Algorithm. In: Tan, Y., Shi, Y., Tuba, M. (eds) Advances in Swarm Intelligence. Lecture Notes in Computer Science, vol 12145, pp. 445-454, Springer, Cham. https://doi.org/10.1007/978-3-030-53956-6_40
• S S, V.C., Anand Hareendran, S., S, S.S. (2020). Multi-objective Particle Swarm Optimisation for Cargo Packaging in Large Containers. In: Tan, Y., Shi, Y., Tuba, M. (eds) Advances in Swarm Intelligence. Lecture Notes in Computer Science, vol 12145, pp. 415-422, Springer, Cham. https://doi.org/10.1007/978-3-030-53956-6_37
• Anand Hareendran, S., Vinod Chandra, S.S., Prasad, S. (2019). Analysis and Prediction of Heart Diseases Using Inductive Logic and Image Segmentation. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. Communications in Computer and Information Science, vol 1071, pp. 93-103, Springer, Singapore. https://doi.org/10.1007/978-981-32-9563-6_10
• Dhanya, S., Thottungal, R., Paul, V., Anand Hareendran, S. (2020). Designing an Intelligent Controller for Improving PEM Fuel Cell Efficiency. In: Huk, M., Maleszka, M., Szczerbicki, E. (eds) Intelligent Information and Database Systems: Recent Developments. Studies in Computational Intelligence, vol 830, pp. 387-395, Springer, Cham. https://doi.org/10.1007/978-3-030-14132-5_31
• Anand Hareendran, S., Vinod Chandra, S.S. (2017). Association Rule Mining in Healthcare Analytics. In: Tan, Y., Takagi, H., Shi, Y. (eds) Data Mining and Big Data.. Lecture Notes in Computer Science, vol 10387, pp. 31-39, Springer, Cham. https://doi.org/10.1007/978-3-319-61845-6_4
• Anand, H.S., Vinodchandra, S.S. (2016). Treap Mining – A Comparison with Traditional Algorithm. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. Lecture Notes in Computer Science, vol 9621, pp. 532-543, Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_51
• Anand, H.S., Vinod Chandra, S.S. (2016). Probabilistic Mining in Large Transaction Databases. In: Tan, Y., Shi, Y. (eds) Data Mining and Big Data. Lecture Notes in Computer Science, vol 9714, pp. 486–494, Springer, Cham. https://doi.org/10.1007/978-3-319-40973-3_49
BOOKS PUBLISHED (4)
• Anand H. S., Chandra, V. S. (2014) Artificial Intelligence & Machine Learning. Prentice Hall Publishers.
• Anand H. S., Chandra, V. S. (2017) Research Methodology. Pearson Education.
• Anand H. S., Chandra, V. S. (2020) Artificial Intelligence – Principles and Application. Prentice Hall Publishers.
• Anand H. S., Chandra, V. S. (2020) Machine Learning – A Practitioner’s Approach. Prentice Hall Publishers.
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INTERNATIONAL CONFERENCES (5)
• Validation of the Optimum Parameter for 500W PEM Fuel Cell Using Machine Learning Tool WEKA at the International Conference on Computational Sciences- Modelling, Computing and Soft Computing, Springer (September 2020)
• Performance Comparision of Honey Bee Mating Optimization Algorithms for Fuel Cell Operating Parameters at the International Conference on I-SMAC, IEEE, (December 2019)
• FAST-EN: An improved feature detection method for FAST at the International Conference on Intelligent Computing and Sustainable Systems, IEEE (September 2018)
• Vertical and Horizontal Rule Mining Algorithm at the International Conference on Advances in Computing, Communication and Information Science, Proceedings of Elsevier (June 2014)
• Applying correlation threshold on Apriori algorithm at the International Conference on Emerging Trends in Computing, Communication and Nanotechnology, IEEE (March 2013)
NATIONAL CONFERENCES (4)
• Introduction to Machine Learning and Natural Language Processing at the National Workshop on Sanskrit and Language Technology, Sree Shankaracharya University of Sanskrit, Ernakulam (February 2019)
• Association Rule Mining Using ECLAT Algorithm at the National Conference on Emerging Trends In Engineering, Trivandrum (Jan 2014)
• A Correlation Approach to Apriori Algorithm at the National Conference on Advances in Computing & computer applications, Trivandrum (December 2012)
• Content-Based Watermarking by Advanced Geometric Warping Techniques at the National Conference on Communication, VLSI & Signal Processing, Indian Engineering College, Tamilnadu (April 2010)
KEYNOTE/ GUEST/ ACADEMIC LECTURES/SESSIONS (34)
• Keynote session on Machine Learning – A Near Future at the Second International Conference on Artificial Intelligence and Society organised by the Department of Computer Science, University of Kerala (March 26, 2021)
• Keynote session on Neural Networks at the National Conference on Artificial Intelligence at Government College Nedumangadu (January 28, 2016)
• Faculty Development Programme on Demystifying Machine Learning Algorithms- Regression Analysis – organised by the Department of Artificial Intelligence and Data Science, MITS Kochi (October 13, 2022)
• Faculty Development Programme on Nature Inspired Computing – Algorithms used in Image Analysis – organised by the Department of Computer Science, CUSAT Kochi (June 22, 2022)
• Faculty Development Programme on Mathematical Foundation for Machine Learning – Mathematics of Machine Learning – organised by Sreebudha College of Engineering (November 24, 2021)
• Expert talk on Trends in Machine Learning organised by the Government Engineering College, Idukki (September 9, 2021)
• Faculty Development Programme on Machine Learning – Regression Analysis – organised by UKF Engineering College (June 18, 2021)
• Faculty Development Programme on Machine Learning – Market Basket Analysis – organised by MEA Engineering College (March 16, 2021)
• Expert talk on Real life applications of Machine Learning – ACM event, Chennai (March 6, 2021)
• Faculty Development Programme on Artificial Intelligence – AI for Mechanical Engineering – organised by Sreebudha College of Engineering (January 19, 2021)
• Faculty Development Programme on Machine Learning – Deep Learning with Python – organised by CUSAT Kochi (November 3, 2020)
• Faculty Development Programme on Data Analysis & Predictive Modelling – Working with WEKA – organised by Sri Sairam Engineering College (September 8, 2020)
• Faculty Development Programme on Programming in Python – Programming Strategies for Problem Solving – organised by the Computer Science and Engineering Department of Muthoot Institute of Technology and Science, Kochi (June 29, 2020)
• Faculty Development Programme on Machine Learning Toolkits – Working with Weka – organised by the University Engineering College, Trivandrum (June 23, 2020)
• Faculty Development Programme on Machine Learning – Association Algorithms in Machine Learning organised by the University Engineering College, Trivandrum (June 3, 2020)
• Online sessions on Design and Analysis of Algorithm – Problem-solving strategies – organised by Additional Skill Acquisition Programme (ASAP), Government of Kerala (April – May 2020)
• Faculty Development Programme on Machine Learning Toolkits – Weka Mining tool kit – organised by Viswajyothi College of Engineering and Technology (January 11, 2019)
• Faculty Development Programme on Advancements in Technology – Internet of Things for Electrical Applications – organised by College of Engineering Trivandrum (July 17, 2018)
• Faculty Development Programme on Machine Learning – Machine Learning for Information Processing – organised by SCT College, April 5, 2018
• Refresher course in Computer Science and Information Technology – Advancements in Technology – organised by the University of Kerala (February 2018)
• Faculty Development Programme on Machine Learning – Introduction to Machine Learning Concepts Using R organised by TKM College (January 10, 2018)
• Faculty Development Programme on Machine Learning – Machine Learning Algorithms organised by College of Engineering Trivandrum (December 22, 2017)
• 30-hour intensive training on Data mining and Applications organised by Rajiv Gandhi Center for Biotechnology, Trivandrum (February 27 -March 03, 2017)
• 10-hour intensive training on Effective Python Programming organised by BVB school (August 17, 2016)
• 24-hour intensive training on C++ fundamentals organised by St Peters Vocational Higher Secondary School (October 23, 2017)
• One-day training on ‘Research methodology – Engineering Aspect’ organised by the College of Engineering, Trivandrum (October 9, 2015
• Faculty Development Programme on Machine Learning – Machine Learning Algorithms and Tools organised by College of Engineering Trivandrum (January 9, 2015)
• Hands-on workshop – LaTeX & Applications – organised by SCT College of Engineering, Trivandrum (June 6, 2014
• Hands-on workshop – Weka for Biological Applications organised by Rajiv Gandhi Centre for Biotechnology (May 29, 2014)
• Hands-on workshop Machine Intelligence and Applications – Machine Learning Applications and Software toolkit organised by CUSAT, Ernakulam (May 6, 2014)
• Faculty Development Programme on Web Semantics and Data Mining – Association Rule Mining and Mining software – organised by Rajiv Gandhi Institute of Technology, Kottayam (September 25, 2013)
• Technical talk – Association Rule Algorithms, Clustering and their biological applications – organised by Department of Computational Biology and Bioinformatics, Thiruvananthapuram (July 26, 2013)
• Staff Development Program on Soft Computing Techniques in Engineering Applications – Reinforced Learning and Weka – organised by TKM College of Engineering, Kollam (June 19, 2013)
• Hands-on workshop – Machine Learning Algorithms for Applications – organised by College of Engineering, Perumon (September 26, 2012)
AWARDS & HONOURS
• Best Paper Award for “Probabilistic Mining in Large Transaction Databases”, at the International Conference on Data Mining and Big Data Analysis in Bali, Indonesia (June 2016)
• SPEED-IT Research fellowship from Kerala State IT Mission, Govt of Kerala (June 2012-2015)
CHAIR/CO-CHAIR OF ACADEMIC TECHNICAL SESSIONS (5)
• Organising chair – 9th International Conference on Smart Computing and Communications (ICSCC) – IEEE Kerala Section – MITS Kochi (August 2023)
• Conference Session Chair – International Conference on Advances in Computing and Communications(ICACC-2021) – Rajagiri School of Engineering and Technology (October 22, 2021)
• Organising chair – 9th International Conference on Smart Computing and Communications (ICSCC) – IEEE Kerala Section – MITS Kochi (July 2021)
• Conference Session Chair – National Conference on Novel & Challenging Issues and Recent Innovations in Engineering and Information Sciences – College of Engineering Kidangoor (July 16, 2021)
• Conference Session Chair – International Conference on Circuits and Systems in Digital Enterprise Technology – IEEE Kerala Session – Saintgits College of Engineering (December 22, 2018)
RESEARCH PROJECTS
• Funding obtained from Kerala State Council for Science Technology and Environment(KSCSTE) – Government of Kerala for the project “Inter vehicular network”
PATENTS AND INNOVATIONS
• A Method for Maintaining Polymer Electrolyte Membrane Fuel Cell Under Optimum Operating Conditions – Innovation Patent
• Sensor-Based Monitoring of Micro Constituents of Cutting Fluid During Machining Process Using Bale of Turtles Algorithm – Indian Copyright
• Bio-Inspired Algorithm for Proton Exchange Membrane Fuel Cell Performance Optimization – Indian Copyright
• Phototropic Algorithm – Indian Copyright
• Association Rule Mining Using Treap – Indian Copyright
CONSULTANCY AND TRAINING
• Research Consultant – Machine Intelligence Research Group (http://mirworks.in/) (May 2012)
Ph.D. Supervision [Awarded/To be awarded soon]
• Supervising Ph.D. thesis titled Information Extraction from Real time Video using Deep Learning under APJ Abdul Kalam Technological University (2022 – present)
• Supervising Ph.D. thesis titled Prediction of Thyroid Imaging Reporting and Data System Scores of Thyroid Lesions Using Image Processing and Machine Learning Techniques under APJ Abdul Kalam Technological University (2022 – present)
• Supervising Ph.D. thesis titled Diagnosis and Prognosis of Bio Medical Imaging under APJ Abdul Kalam Technological University (2022 – present)
• Supervising Ph.D. thesis titled Issues and Challenges in Health Informatics under APJ Abdul Kalam Technological University (2022 – present)
FDP/Workshops
• One day FDP on Game based Teaching organised by Careerfit 360 (March 26, 2022)
• Six-day FDP on Cyber Security organised by TCS Kochi (November 2021)
• Three-day FDP on Cyber Security and Forensics organised by Amal Jyothi College of Engineering (September 1, 2021)
• Five-day FDP on Analysis and Implementation of Data Security on Hosts and Networks organised by Muthoot Institute of Technology and Science, Kochi (May 10, 2021)
• One-day workshop on The Art of Research Paper Writing organised by the Department of CSE, AISAT Engineering College (May 4, 2021)
• Four-day FDP on Cyber Security jointly organised by Muthoot Institute of Technology and Science and Tata Consultancy Service, Kochi, (August 24, 2020)
• Five-day FDP on Artificial Intelligence in Natural Language Processing organised by Muthoot Institute of Technology and Science, Kochi (February 8, 2021)
• Seven-day FDP on Cyber Security organised by ICT Academy, IIT Kanpur (February 22, 2021)
• One-day International Webinar on Machine Learning organised by the Department of Physics, SN College for Women, Kollam (July 22, 2020)
• Five-day short-term training programme on Image Forensics organised by the School of Engineering CUSAT and THDC Institute of Hydropower Engineering and Technology, Tehri (July 27, 2020)
• Five-day Faculty Development Program in Research Trends in Computer Science organised by Department of CSE, MITS Kochi (July 2, 2019)
• Two-day Faculty Development Program in Outcome based Education, organised by TL Center IIT Madras (June 3, 2019)
• Six-day Residential ToT (Training of Trainers) Programme for Machine Learning course at Mar-Baselious College of Engineering and Technology, Trivandrum, 16 July 2018
• Five-day workshop on Design and Analysis of Algorithm at Sahrdaya College of Engineering and Technology, Thrissur (November 27, 2017
• Two-day National workshop on Machine Learning with R programming organised by EDC – IIT Roorkee (August 25, 2017)
• Two-day workshop on Data Analytics Using R organised by ICT Academy of Kerala, Technopark, (July 29, 2016)
• Five-day short-term course on Effective Python Programming organised by Rajagiri College, Kochi (July 6, 2015)
• Three-day Faculty Development Program in Concept Coaching organised by ICT Academy of Kerala, Technopark (May 11, 2015)
• Two-day workshop on Algorithm Design Techniques organised by TKM College of Engineering, Kollam (July 11, 2013)
• One-day workshop on Interfacing with Personal Computer organised by TKM College of Engineering, Kollam (November 9, 2011)
Certificate Courses
• Buddhism and Modern Psychology offered by Princeton University
• Successful Negotiation: Essential Strategies and Skills offered by the University of Michigan
• Managing Teams offered by the University of Michigan
• Leading Teams offered by the University of Michigan
• Business Intelligence Analyst offered by IBM
• Leadership and Emotional Intelligence offered by the Indian School of Business
• Effective Management: Cultivating Great Teams offered by ACM
• PUBLIC ENGAGEMENTS (ARTS/SPORTS/LITERARY/Other – if any)
• Represented college cricket team for zonal level cricket tournament
• Represented college basketball team for university-level tournament
OTHER ENGAGEMENTS
• Professional Member of the Association for Computing Machinery
• Member of the International Association of Swarm and Evolutionary Intelligence