Dr. Sridhar S S
Experienced Professor with a demonstrated history of working in the education industry.
Skilled in Educational Technology, Mentoring and Curriculum Development.
Strong education professional with a Doctor of Philosophy – PhD focused in Machine Learning and Pattern Recognition with research interests in Brain Computer Interface, Bio inspired Computing, Pattern Recognition and Deep Learning.
Brain Computer interfacing, Artificial Neural Networks,Pattern Recognition,Image Processing
Brain Computer Interfacing, Deep Learning, Pattern Recognition, Digital Image Processing, Bio Informatics, Soft Computing, Genetic Algorithms, Compiler Design
Degree | Institute/Organisation | Specialisation | Year Of Passing |
---|---|---|---|
Ph.D | SRM Institute of Science and Technology (formerly known as SRM University) | Artificial Neural Networks | 2015 |
M.S | Birla Institute of Technology and Science | Software Systems | 1995 |
B.E | Madurai Kamaraj University | Computer Engineering | 1990 |
Journal Publications
- Soubraylu Sivakumar, S.S.Sridhar,Rathnavel Rajalakshmi, M.Pushpalatha, S.Shanmugan,G.Niranjana, “Intelligent and Assisted Medicine Dispensing Machine for Elderly Visual Impaired People with Deep Neural Network Fingerprint Authentication System“, Internet of Things; Engineering Cyber Physical Human Systems , Online ISSN: 2542-6605, (2023), ISSN: 2543-1536, IF 5.711, https://doi.org/10.1016/j.iot.2023.100821
- Sivamohan, S.S.Sridhar, “An optimized model for network intrusion detection systems in industry 4.0 using XAI based Bi-LSTM framework”, Neural Computing and Applications Journal Springer Nature March 2023 , vol. 35, 11459–11475 (2023). https://doi.org/10.1007/s00521-023-08319-0,
SCI, IF 5.102 , SNIP 1.7
- Sivamohan, S.S.Sridhar, “EKHO-IDS: An Intrusion Detection System for Industrial CPS with Trustworthy Explainable AI and Enhanced Krill Herd Optimization”, Peer-to-Peer Networking and Applications, Springer Nature, May 2023, SCI, IF 3.48, SNIP 1.093
- Thanigaivelu, P.S., Sridhar, S.S. & Sulthana, S.F., OISVM: Optimal Incremental Support Vector Machine-based EEG Classification for Brain-computer Interface Model. Cognitive Computation Vol.15, 888–903 (2023). https://doi.org/10.1007/s12559-023-10120-z, IF 4.890
- Mochitha Vijayan, S.S.Sridhar, Dhinakaran Vijayalakshmi, “A Deep Learning Regression Model for Photonic Crystal Fiber Sensor with XAI Feature Selection and Analysis“, IEEE Transactions on Nano Bioscience, 9th Nov 2022 , DOI: 10.1109/TNB.2022.3221104
- Ganesh Kumar, S. S. Sridhar,Azham Hussain,S. V. Manikanthan,T. Padmapriya, “Personalized web service recommendation through mishmash technique and deep learning model”, Multimedia Tools and Applications, Special Issue on Advances in Soft Computing Techniques for Visual Information-Based Systems, Springer Nature, ISSN:1380-7501,January 2022 , IF 2.757, SNIP: 1.139, Scopus , SCIE
https://doi.org/10.1007/s11042-021-11452-4 ISSN 1380-7501
- Krishnaveni, S. Sivamohan, S. S. Sridhar, S. Prabakaran , “Network Intrusion Detection Based on Ensemble Classification and Feature Selection Method for Cloud Computing” , Concurrency and Computation: Practice and Experience, John Wiley & Sons, Ltd,IF 1.536, ISSN:1532-0634 (24th Jan 2022) https://doi.org/10.1002/cpe.6838
- Rajalakshmi, S.S.Sridhar, “A Study On EEG Artifact Removal Techniques“, Journal of Natural Volatiles and Essential Oils, Vol.8, No.5,pp. 4619-4631, 2021, Scopus SNIP:0.252
DOI: 10.37929/nveo.878488
- Sivakumar,Snehasish Ghosh, Waleed Mohammed Qader, S.S.Sridhar, ” Assessment of active seismotectonic for Shivah Lalayi basin, Iraq,using remote sensing and GIS techniques“, Arabian Journal of Geosciences, ISSN:1866-7511, 14:1837, Springer, August 2021, Impact Factor : 1.827 , SCI , DOI: https://doi.org/10.1007/s12517-021-08128-6
- Velmurugan, K. Senthil kumar, S.S. Sridhar, E. Gotham , “An Advanced and Effective Encryption Methodology used for Modern IoT Security”, Materials Today: Proceedings, Elsevier, ISSN:2214-7853 , April 2021, Scopus SNIP 0.657, DOI: https://doi.org/10.1016/j.matpr.2021.03.424
- S.S. Sridhar, Rajarshi Chatterjeeb, Saswat Pania, “BCG Vaccine Cross-protection from COVID-19: Statistical Study through Data Science”, Turkish Journal of Computer and Mathematics Education Vol.12 No.11 (2021), 5657-5667, E-ISSN:1309-4653, Scopus, SNIP: 0.412
- Prashant Kumar Mishra, Soumyadeep Bhattacharya, S.S. Sridhar, “Decision Support System for Small Enterprises to Revive themselves in the Covid Era, using Lessons of 2008-09 Recession” , Turkish Journal of Computer and Mathematics Education Vol.12 No.11 (2021), 5380-5387, Scopus, SNIP : 0.412
- Krishnaveni, S. Sivamohan, S. S. Sridhar, S. Prabakaran, “Efficient feature selection and classification through ensemble method for network intrusion detection on cloud computing”, Cluster Computing, Springer, (2021) 24:1761–1779, Impact Factor: 1.809, SNIP 1.586, SCIE , DOI: https://doi.org/10.1007/ s10586-020-03222-y
- Sivamohan,S.S.Sridhar,S.Krishnaveni , “ An Effective Recurrent Neural Network (RNN) based Intrusion Detection via Bi-directional Long Short-Term Memory”, IEEE, 2021 International Conference on Intelligent Technologies (CONIT), Karnataka, June 25-27, 2021
- Tanmoy Das, Tamali Halder, S.S.Sridhar, “Earthquake Impact Assessment using Naïve Bayesian and Long Short Term Memory Models“, Journal of Critical Reviews, Vol.7, Issue.8, pp.1033-1037, 2020.
- Sugandha Bhagwat, S.S. Sridhar, “Project Help Chatbot“, International Journal of Psychosocial Rehabilitation, Vol.24, Issue.8, pp.1000-1006, 2020, ISSN:1475-7192, DOI: 10.37200/IJPR/V24I8/PR280110
- Chaitanya Saha, Vishal Singh, S.S. Sridhar, “Sentiment Analysis on E-Commerce Website“, International Journal of Psychosocial Rehabilitation, Vol.24, Issue.8, pp.1071-1079, 2020,
ISSN:1475-7192 DOI: 10.37200/IJPR/V24I8/PR280118
- K., Tanvi Bhandarkar, Nikhil Satish, S.S.Sridhar, R.Shivakumar, Snehasish Ghosh, “Earthquake Trend Prediction using Long Short-Term Memory RNN”, International Journal of Electrical and Computer Engineering (IJECE), Vol.9,No.2, pp.1304-1312, 2019. SNIP : 1.001 Scopus
- Puja Sengupta, M.R.Stalin, S.S.Sridhar, “Classification of Conscious, Semi-Conscious and Minimally Conscious State for Medical Assisting System Using Brain Computer Interface and Deep Neural and Deep Neural Network“, Journal of Medical Robotics Research, Vol. 4, No. 2 (2019) pp.1942004-01-10, ISSN: 2424-905X, World Scientific Publishing Company, DOI: 10.1142/S2424905X19420042
- Shivakumar, S.S.Sridhar, M.Ramraj, B.R.Sri Vishnu Prasanth, “A Comparative Analysis of Remote Sensing and its Situ TSS and Turbidity study for Freshwater Lake – An Integrated Approach” , Journal of Advanced Research in Dynamical and Control Systems, Vol.10, No.8, Special Issue, pp.1185-1190, 2018. SNIP : 0.135 Scopus
- Chandrasekhar Kumbhar , Dr. S. S. Sridhar, “Trend analysis of university placement by using Machine learning algorithms”, International Journal of Engineering & Technology, Vol. 7 (2.4) , pp. 178-181, DOI: 10.14419/ijet.v7i2.4.13034, 2018 , SNIP : 0.810
- Sreenivasan Narayanan, S.S. Sridhar, R.Sivakumar, “Development of ArcPy Based Customized Tool in GIS for Seismic Information System” , International Journal of Pure and Applied Mathematics, Volume 118 No. 22 , pp. 377-382, ISSN: 1314-3395, 2018 , SNIP: 0.394
- Jitcha Shivang, S.S. Sridhar,“ Weather Prediction for Indian Location Using Machine Learning” , International Journal of Pure and Applied Mathematics, Volume 118 No. 22, pp. 1945-1949, ISSN: 1314-3395, 2018, SNIP : 0.394
- Soumyasanta Rakshit, Dr. S.S.Sridhar, “Asset Management Security System Using RFID Technology”, International Journal of Engineering and Technology, Vol.7, Issue.4.6, 2018 , pp. 391- 393
- Vivia Mary John, S,S,Sridhar, “A Comparative Study on the Emotional Behavior of Humans towards Color using the P300 Component“, Indian Journal of Science and Technology, Vol 10(20), May 2017. SNIP: 1.270
- Mochitha Vijayan , S.S.Sridhar , “Improved Learning in Constructive Neural Networks for Pattern Classification using Genetic Algorithm“, Indian Journal of Science and Technology, Vol 10(18), May 2017. SNIP: 1.270
- Ushasukhanya S, S.S.Sridhar,”Survey on Artificial Intelligence Techniques in the Diagnosis of Pleural Mesothelioma “, International Journal of Pharmacy & Technology, April-2017, Vol. 9,Issue No.1 ,pp.29042-29051 ,ISSN: 0975-766X
- Mochitha Vijayan , S.S.Sridhar, “A Genetic Algorithm Based Learning In Constructive Neural Network for Pattern Classification“, International Journal of Control Theory and Applications , Vol. 9, No. 37, pp.393-401, 2016. SNIP: 0.097
- Vivia Mary John, S,S,Sridhar, “A Feasibility Study on the Emotional Quotient of Humans Towards Color using Visual Evoked Potential“, International Journal of Control Theory and Applications , Vol. 9, No. 37, pp. 589-602, 2016. SNIP: 0.097
- Hanusha, Priyanka.G., S.S.Sridhar, “Data protection in the cloud by using JAR generation“, International journal of advanced networking and applications (IJANA) , ISSN : 0975-0282 , pp.589-595, Special issue. , 2016
- Bttula Sateesh , S.S.Sridhar, “Classification of Hyper Spectral Images using the Unsupervised Technique”, International Journal of Business Management and Economic Research(IJBMER), Vol 5(1), pp.2507-2510, 2014.
- Shivanand Singh, S.S.Sridhar , “An Approach to Efficient Image Annotation“, International Journal of Scientific Research in Computer Science Applications and Management Studies , Volume 3, Issue 3 ,May 2014.
- S.Sridhar, Dr. M.Ponnavaikko, “Improved Adaptive Learning Algorithm for Constructive Neural Networks”, International Journal of Computer and Electrical Engineering, Vol.3, No.1, pp.30-36, 2011.
- S.Sridhar, Dr. M.Ponnavaikko, “New Constructive Neural Network Architecture for Pattern Classification”, Journal of Computer Science, Vol. 5 (11), p.p 843-848, 2009.
Conference Publications
- Thanigaivelu, P.S., Sridhar, S.S., Fouziya Sulthana, S. (2023). “Performance Enhancement of Motor Imagery EEG Signals Using Feature Extraction and Classification with Time Domain Statistical Parameters of Brain–Computer Interface”. In: Gupta, D., Khanna, A., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 471. Springer, Singapore. https://doi.org/10.1007/978-981-19-2535-1_62
- Sivamohan S., Sridhar S.S., Krishnaveni S. (2022) “Efficient Multi-platform Honeypot for Capturing Real-time Cyber Attacks”. In: Hemanth D.J., Pelusi D., Vuppalapati C. (eds), Intelligent Data Communication Technologies and Internet of Things. Lecture Notes on Data Engineering and Communications Technologies, vol 101. Springer, Singapore. https://doi.org/10.1007/978-981-16-7610-9_21
- Vijayan M., Sridhar S.S. (2021) “Continual Learning for Classification Problems: A Survey”, In: V.Krishnamurthy et al,(eds), Computational Intelligence in Data Science. ICCIDS 2021, IFIP Advances in Information and Communication Technology, vol 611. pp.156-166, 2021, Springer, Cham. Scopus SNIP 0.39, ISSN 1868-4238, 2021
- S.Sivamohan, S.S.Sridhar, S.Krishnaveni, “An Effective Recurrent Neural Network (RNN) based Intrusion Detection via Bi-directional Long Short-Term Memory“, 2021 International Conference on Intelligent Technologies (CONIT),June 25-27, IEEE. 2021 , DOI: 10.1109/CONIT51480.2021.9498552
- Sivamohan S, S.S. Sridhar,S. Krishnaveni.A, “Honeynet Based Multi-Platform Honeypot for Capturing Cyber Attacks”, Springer Lecture Notes on Data Engineering and Communications Technologies, 5th International Conference on Intelligent Data Communication Technologies and Internet of Things (ICICI 2021)” August 27-28 2021
- Sivakumar, S.S.Sridhar and Snehasish Ghosh , 2014 , Seismological Study of Ranjit Tectonic Thrust Zone of Sikkim Himalaya for the Development of Integrated Geospatial and Neural Network Based Simulation Model, ISPRS Technical Commission VIII Symposium, Operational RS Applications: Opportunities, Progress and Challenges, 09 – 12 December 2014, Hyderabad, India.
- S.Sridhar, Dr. M.Ponnavaikko, “A Novel Constructive Neural Network Architecture Based on Improved Adaptive Learning Strategy for Pattern Classification”, Proceedings of the International Conference on Soft Computing for Problem Solving, SOCPROS, AISC 130, pp. 401-412, SpringerLink,2011
- S.Sridhar, Dr. M.Ponnavaikko, “Analysis of Constructive Neural Network Learning algorithms for Pattern Classification“, IEEE International Advance Computing Conference,Patiala,March 6,7,2009.
- S.Sridhar, R.Shivaraman, “Feasibility Study for Implementing Brain Computer Interface Using Electroencephalograph”, International Conference on Internet Computing and Information Communications”, ICICICGlobal, Feb.12-14,2012.
- Uma, S.S.Sridhar, “A Feasibility Study for Developing an Emotional Control System Through Brain Computer Interface”, International Conference on Human Computer Interactions ICHCI’13, August 23,24, 2013. , IEEExplore
- Akash, S.S.Sridhar, Bibek Kabi, N.Chellammal, ”Developing a Flight Control Strategy for a Four-rotor Under-actuated UAV”, Proceedings of International Conference on “Emerging Trends in Robotics and Communication Technologies” IEEE,December 3-5, 2010, p.p 367 – 372 , DOI: 10.1109/INTERACT.2010.5706181.
- Narasimha Raghavan,T.Peer Meera Labbai, S.S.Sridhar, “Relational Fuzzy Clustering Algorithm based on the Idea of Mediods in Intrusion Detection“, Proceedings of the International Conference on Information Security & Computer Forensics, p.p.133-142, ISBN: 81-8424-141-0, December 6-8, 2006
- Narasimha Raghavan, S.S.Sridhar, Suvitha Kesavan, “Application of Elliptic Curve Cryptography for secured communication in Wireless Networks“, Proceedings of the National Conference on Mathematical Techniques and Applications, pp 19-232, ISBN 978-81-7319-891-5, 5th – 6th,January 2006.
- Venkatesh Prabhu, S.S.Sridhar, “Adaptive Document Classification“, Proceedings of the International Conference on Trends in Computer Science and Engineering“, Chennai , May 2004.
- H, Sridhar.S.S., Krishnamoorthy.A., “Achieving Quality Standards through Mission10X Programme: Case Study”, Achieving Excellence through Accreditation, First World Summit on Accreditation, WOSA 2012, pp.183-190
Patents:
Patents
Patent Title: ISMT- Voice Based Mobile Banking: Intelligent Secure Money Transfer Using Biometric Input Voice Based Mobile Banking.
Applicants: Dr. P. Velmurugan ,Dr. S. S. Sridhar ,Dr. S. Godfrey Winster Prof.S. B. Chordiya ,Dr. Santosh Tukaram Jagtap ,Dr. Vrushsen Purushottam Pawar
Australian Patent Appl. No. 2020102210
Date of Grant: 7th October 2020
Patent Title: A System for Intrusion Detection and Mitigation Support and a Method Thereof
Applicants: S. Krishnaveni, S. Sivamohan, S. S. Sridhar, Jothi B, Avirup Chattaraj, Aayush Mehrotra
Application No.202041054579 A
Date of Publication: 25/10/2020
Patent Title: Method of Determining Seismic Energy Potentiality Zone in the Subsurface Based on Focus Distance Computation Equation
Applicants: R Sivakumar, Snehasish Ghosh, S.S Sridhar
Application No.202041054054 A
Date of Publication: 11/12/2020
Date of Grant : 23/02/2024
Certifications
• Introduction to Blockchain Technology and Applications, NPTEL, 8 weeks
• Agile Analytics, University of Virginia, (Coursera)
• Agile meets Design Thinking, University of Virginia, (Coursera)
• Design Thinking for Greater Good, University of Virginia, (Coursera)
• Design Thinking for Innovation, University of Virginia, (Coursera)
• Digital Product Management Specialization, University of Virginia, (Coursera)
• Hypothesis Driven Development, University of Virginia, (Coursera)
• Managing an Agile Team, University of Virginia, (Coursera)
• Positive Psychology, University of North Carolina, (Coursera)
• AI for Everyone, deeplearning.ai, (Coursera)
• Cloud Computing Basics, Learn Quest, (Coursera)
• Internet of Things, 5-days FDP, National Institute of Technical Teachers Training and Research, Chandigarh
• High Impact Teaching Skills, Dale Carnegie Training by Wipro Mission10X.
• Machine Learning, Stanford University (Coursera).
• Mathematics for Machine Learning – Linear Algebra (Coursera).
• Mathematics for Machine Learning – Multivariate Calculus (Coursera).
• Executive Data Science, John Hopkins University (Coursera).
• Inspiring and Motivating Individuals, University of Michigan. (Coursera).
• Using Databases with Python, University of Michigan (Coursera).
• Using Python to Access Web Data, University of Michigan (Coursera)
• Python Data Structures, University of Michigan (Coursera).
• Leadership: Identity, Influence and Power, Macquarie Graduate School of Management (Coursera).
• Diploma in Education Psychology, Alison online certification (Open2Study).
Special Contributions
• Chairman, IET Chennai Local Network from 2016-2018 and Vice-Chairman from 2014-2016.
• HOD in-charge for Department of Computer Science and Engineering, SRM University from 2002 to 2007
• Coordinator for Student Exchange Programme for Kyushu Institute of Technology, Japan in the year 2000
• Coordinator for The Wipro Mission10x Faculty Empowerment Workshop with 350 faculty members certified in Engineering and Technology.
• Coordinated the MATLAB workshop for 180 Faculty members of Engineering and Technology in collaboration with Pearson Education India.
• Coordinator in getting Accreditation for Four Programmes of the University by Institution of Engineering and Technology (IET), UK.
• Conducted Industry Institution Summit by IET Chennai Local Network, 29th Sep 2018 as Chairman of IET-CLN and Convener for the summit
• Authored a Book titled “Computer Practice” for First Year B.Tech students, Anuradha Publications,2006, ISBN: 81-89638-36-X
• Authored a book of Proceedings of International Conference on Internet Computing and Information Communications, ICICIC Global, Advances in Intelligent Systems and Computing, Series, Vol.216, Springer, 2012, Swamidoss Sathiakumar, Lalit Kumar Awasthi, M.Roberts Masillamani, S.S.Sridhar., ISBN 978-81-322-1298-0, ISSN: 2194-5357
Delivered a Guest Lecture on Brain Computer Interface at Anna University, 6-10 July 2017.
Delivered an Expert Lecture on IOT Applications for Smart Cities during the User Interaction Meet of NRDBMS / DST- SRMIST Project ÜRBANHYDROGIS” on “Geospatial Techniques and Applications with special reference to Urbanization,Mapping, Analysis and Case Studies” 14th Sep. 2018 at Pondicherry, Organized by Dept. of Civil Engg and Earth Quake Research Cell, SRMIST
Delivered an Expert talk on Study of Human Cognition and Emotion through Brain Computer Interface during A Five days Faculty Development Programme on Cognitive Computing,Oct.2018
Delivered a Lecture on IOT Applications for Smart Cities during National Workshop on Geographical Information Systems,15th Oct 2018, SRMIST
Delivered a Lecture on Study of Human Cognition and Emotion through BCI during National Workshop on Human Cognition and Emotion adapting AI Technologies,6,7th Sep. 2018 , SRMIST
Delivered an Expert Talk on Study of Human Cognition & Emotions- enabled through Brain Computer Interface in the ISACA Chennai Chapter – SIG AI Conference, 27th Oct. 2018
Projects:
Project Title: Water Quality studies of Rivers and Reservoirs/Lakes using Hyperspectral remote sensing.
Principal Investigator: Dr.R.Sivakumar, Professor, Department of Civil Engg., College of Engineering and Technology, SRMIST
Co-Principal Investigator:Dr.S.S.Sridhar, Professor, Department of Computing Technologies,College of Engineering and Technology, SRMIST
Funding Agency: Department of Science and Technology, Ministry of Science and Technology, Interdisciplinary Cyber Physical Systems Division.
Scheme: Network Programme on Imaging Spectroscopy and Applications(NISA)
Project Reference No. : BDID/01/23/2014-HSRS/14 (WAT-II)
Project Fund: Rs 36.12 Lakhs
Project Period: April 2016 – March 2019
Status: Completed
Academic Experience:
- Professor, Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology (formerly known as SRM University), (2004- Till Date)
- Assistant Professor, Department of Computer Science Engineering, SRM Engineering College/ SRM Institute of Science and Technology (formerly known as SRM University), (2000 -2004)
- Senior Lecturer, Department of Computer Science Engineering, SRM Engineering College/ SRM Institute of Science and Technology (formerly known as SRM University), (1997-2000)
- Lecturer, Department of Computer Science Engineering, SRM Engineering College/ SRM Institute of Science and Technology (formerly known as SRM University), (1990-1997)
Other Professional Experience:
Chairman of Institution of Engineering and Technology (IET), Chennai Local Network (2016-2018)
Vice Chairman of Institution of Engineering and Technology (IET), Chennai Local Network (2014-2016)
- Institution of Engineering and Technology (IET)
- Association of Computing Machinery (ACM)
- International Association of Engineers (IAENG)
- International Association of Computer and Information Technology (IACSIT)
- Indian Society for Technical Education (ISTE)
- Indian Science Congress Association (ISCA)
- Teaching Undergraduate and Post Graduate Students, Project guidance.
- Coordinating IET Accreditation works of College of Engineering and Technology
- Coordinating Curriculum and Syllabus Design of School of Computing
- Department Research Coordination Committee (DRCC) core committee member
- Coordinated Wipro Mission10x Faculty Development Programme
- Course Auditor for courses in every semester
- Chairman, IET Chennai Local Network (2016-2018), Vice Chairman (2014-2016)