Dr. D. Stalin David

General Information

• Name: Dr. D. Stalin David
• Date of Birth & Age: 16 August 1990 / 33 Years
• Gender: Male
• Marital Status: Married
• Father Name: D. Duraisingh Augustus
• Mother Tongue & Languages Known: Tamil & English
• Nationality & Religion: Indian & Christian
• Permanent Address: Door. No. F1, Second Floor, PKM Apartment, KTC Nagar, Tirunelveli-627 011
• Correspondence Address: Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, #42, Avadi – Vel Tech Road, Poonamallee - Avadi High Rd, Vel Nagar, Chennai, Tamil Nadu 600062
• Email: sdstalindavid707@gmail.com
• Mobile: +91-8300429506
• Landline: Nil

Academic Details

Achievements - Awards and Honors

Experience

Total Experience: 10 years & 6 months

Conferences, Workshops, Seminars, and Training Programs Attended

• Presented the paper in “National conference on ADVANCEMENT IN COMPUTING METHODOLOGIES” in Anna University, Coimbatore.
• Presented the paper in “National conference on RECENT ADVANCES IN INFORMATION TECHNOLOGY AND COMPUTER SCIENCE” in Kongu Engineering College, Erode.
• AICTE Training and Learning (ATAL) Academy FDP on Data Science on 28.9.2020 to 2.10.2020.
• Attended FDP on Application of Augmented Reality (AR) and Virtual Reality (VR) using MATLAB in IFETCE on 14.12.2020 to 30.12.2020.
• Attended STTP on IoT based WSN using COOJA Network Simulator in IFETCE on 5.11.2020 to 11.11.2020.
• Attended STTP on Fundamentals of Computing & Information Technology in Government First Grade College on 18.5.2029 to 24.5.2020.
• Attended STTP on Research Methodology in National Institute of Technical Teachers Training and Research on 12.10.2020 to 16.10.2020.
• Attended STTP on Life Skills Development in National Institute of Technical Teachers Training and Research on 30.11.2020 to 04.12.2020.
• Attended STTP on Life Skills Development in National Institute of Technical Teachers Training and Research on 2.11.2020 to 6.11.2020.
• Attended STTP on Wireless Communication on Life Skills Development in National Institute of Technical Teachers Training and Research on 9.11.2020 to 13.11.2020.
• Presented the paper in Fourth National Conference on “RECENT TRENDS IN UBIQUITOUS COMPUTING AND COMMUNICATION TECHNOLOGY” in Bannari Amman Institute of Technology, Erode.
• Presented the paper in SEVENTH INTERNATIONAL CONFERENCE ON SCIENCE AND INNOVATIVE ENGINEERING 2017 in Jawahar Engineering College, Chennai.
• Presented the paper in “International conference on INTERNET, ENGINEERING, BUSINESS AND DISASTER MANAGEMENT” in Noorul Islam University, Kanyakumari.
• Presented the paper in “International Conference on Computer Science, Engineering and Applications” (CSEA-2015) in Vel Tech University, Chennai.
• Presented the paper in “FOURTH INTERNATIONAL CONFERENCE ON INNOVATION IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS” in Karpagam College of Engineering, Coimbatore.
• Presented the paper in NATIONAL CONFERENCE ON EMERGING TRENDS IN SCIENCE, ENGINEERING AND TECHNOLOGY, MANAGEMENT AND APPLICATION in Nehru Institute of Engineering & Technology, Coimbatore.
• Presented the paper in “International Conference on Emerging Technologies in Computing, Control, Communications and Construction Technologies” Organized by Arunachala College of Engineering for women, Kanyakumari.
• Participated in the “Two days Workshop on Platforms for Big Data Analytics” Conducted by National Institute of Technology, Trichy.
• Participated in a “TEQIP Sponsored Faculty Development Programme on Network Security Tools” in Thiagarajar College of Engineering, Madurai.
• Participated in a “Tenth National Seminar on Research Issues in Digital Image Processing” organized by Mepco Schlenk Engineering College, Sivakasi.
• Participated in a Kolkata sponsored two days instructional workshop on “Formal Methods in Cryptography” organized by National Engineering College, Kovilpatti.
• Participated in a National Workshop on “Image processing and Applications using MATLAB” Organized by Einstein College of Engineering, Tirunelveli.

Co-Curricular & Extra-Curricular Activities

• An active participant in various soft-skill and aptitude training programs conducted by:
  • NIIT - Chennai
  • TECHNICAL SYMPOSIUM - Madurai
• MCP (MICROSOFT Certified Professional) - certified by Microsoft.
• MISSION 10X Faculty training program Conducted by Wipro Software Technologies.
• Participated in “ANNUAL ATHLETIC MEET” for FOOTBALL and won prizes in school and college and nominated as a University player.
• SOCIAL WORK: Participated in National Social Service & Cadet Corps at School and College.
• HOBBIES: Mountaineering, reading stories in Tamil, Playing Football & Cricket.

Publications - International Journal

• Stalin David D, Design of Fuzzy Logic Control Framework for QoS Routing in MANET, Intelligent Automation & Soft Computing, Volume 35, Issue 3, (SCIE, SCOPUS).
• Stalin David D, AI-Based convolute Neural Approach Management To Predict The RNA Structure, 2022, 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE), DOI: 10.1109/ICACITE53722.2022.9823922, (SCOPUS).
• Stalin David D, Enhanced glaucoma detection using ensemble based CNN and spatially based ellipse fitting curve model. J Ambient Intell Human Comput (2021), Springer. https://doi.org/10.1007/s12652-021-03467-4 (SCIE, SCOPUS).
• Stalin David, D.. et al. (2022). Cloud Security Service for Identifying Unauthorized User Behaviour. CMC-Computers, Materials & Continua, 70(2), 2581–2600. (SCI, Annexure I).
• Stalin David, D.. et al. (2022). Enhanced Detection of Glaucoma on Ensemble Convolutional Neural Network for Clinical Informatics. CMC-Computers, Materials & Continua, 70(2), 2563–2579. (SCI, Annexure I).
• Stalin David D et al 2020, ‘Diagnosis of Alzheimer's Disease Using Principal Component Analysis and Support Vector Machine, International Journal of Pharmaceutical Research, Volume 12, Issue 2, PP.713-724. SCOPUS Indexed.
• Stalin David D et al 2020, ‘An Intellectual Individual Performance Abnormality Discovery System in Civic Surroundings’, International Journal of Innovative Technology and Exploring Engineering, Volume 9, Issue 5, PP.2196-2206. SCOPUS Indexed.
• Dr. D. Stalin David et al, "Medical Wireless Sensor Network Coverage and Clinical Application of MRI liver disease diagnosis". European Journal of Molecular & Clinical Medicine, 7, 9, 2021, 2559-2571. SCOPUS Indexed.
• Dr. D. Stalin David et al, "An energy-efficient trust based secure data scheme in wireless sensor networks". European Journal of Molecular & Clinical Medicine, 7, 9, 2021, 2495-2510. SCOPUS Indexed.
• Stalin David D, Saravanan M, Jayachandran A, “Deep Convolutional Neural Network based Early Diagnosis of multi class brain tumour classification”, Solid State Technology, Volume 63, Issue 6, PP.3599-3623. SCOPUS Indexed.
• Stalin David D. et al. (2023). Classification of Cervical Cells Using Deep Learning Feature Extraction. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, vol 565. Springer, Singapore. https://doi.org/10.1007/978-981-19-7455-7_3. SCOPUS Indexed.
• Stalin David D. et al. (2023), Hybrid Power Generation Forecasting Using an Intellectual Evolutionary Energy-Preserve Rate Clustering Technique. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, vol 565. Springer, Singapore. https://doi.org/10.1007/978-981-19-7455-7_10. SCOPUS Indexed.
• Stalin David D. et al. (2023). Evaluation and Language Training of Multinational Enterprises Employees by Deep Learning in Cloud Manufacturing Resources. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, vol 565. Springer, Singapore. https://doi.org/10.1007/978-981-19-7455-7_28. SCOPUS Indexed.
• Stalin David D. et al. (2023). Design of Concurrent Engineering Systems for Global Product Development Using Artificial Intelligence. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, vol 565. Springer, Singapore. https://doi.org/10.1007/978-981-19-7455-7_32. SCOPUS Indexed.
• Stalin David D. et al. (2023). Certain Investigations of MEMS for Optimised Sensor Coverage. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, vol 565. Springer, Singapore. https://doi.org/10.1007/978-981-19-7455-7_35. SCOPUS Indexed.
• Stalin David D. et al. (2023). Medical Images Analysis for Segmentation and Classification Using DNN. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, vol 565. Springer, Singapore. https://doi.org/10.1007/978-981-19-7455-7_39. SCOPUS Indexed.
• Stalin David D. et al. (2023). Deep Convolutional Neural Networks-Based Market Strategy for Early-Stage Product Development. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, vol 565. Springer, Singapore. https://doi.org/10.1007/978-981-19-7455-7_46. SCOPUS Indexed.
• Stalin David D. et al. (2023). Glioma Segmentation in MR Images Using 2D Double U-Net: An Empirical Investigation. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, vol 565. Springer, Singapore. https://doi.org/10.1007/978-981-19-7455-7_50. SCOPUS Indexed.
• Stalin David D. et al. (2023). Equipment Planning for an Automated Production Line Using a Cloud System. In: Saini, H.S., Sayal, R., Govardhan, A., Buyya, R. (eds) Innovations in Computer Science and Engineering. ICICSE 2022. Lecture Notes in Networks and Systems, vol 565. Springer, Singapore. https://doi.org/10.1007/978-981-19-7455-7_57. SCOPUS Indexed.
• Rao, A., Krishna, B., Stalin David, D., Devi, O., Asokan, A., (2021). Supervision calamity of public opinion actions based on field programmable gate array and machine learning. International Journal of Nonlinear Analysis and Applications, 12(2), 1187-1198. doi: 10.22075/ijnaa.2021.5195. SCI & WoS Indexed.
• Dr. D. Stalin David et al, "Certain Investigation on monitoring the load of short distance orienteering sports on campus based on embedded system acceleration sensor". European Journal of Molecular & Clinical Medicine, 7, 9, 2021, 2477-2494. SCOPUS Indexed.
• Stalin David D et al 2020, Detection of 3D Facial Expression Using Recurrent Neural Network in IEEE- International Conference on System, Computation, Automation and Networking (ICSCAN), Organised by Manakula Vinayakar Institute of technology, Pondicherry during 2nd-3rd July 2020. SCOPUS Indexed.
• Stalin David D, Saravanan M, 2020, ‘Multi-perspective DOS Attack Detection Framework for Reliable Data Transmission in Wireless Sensor Networks based on Trust’, International Journal of Future Generation Communication and Networking, Volume 13, Issue 4, PP.1522–1539. Web of Science Indexed.
• Stalin David D et al 2018, ‘A new expert system based on hybrid colour and structure descriptor and machine learning algorithms for early glaucoma diagnosis’, Multimedia Tools and Applications, 79(7-8): 5213-5224, published by Springer (SCIE & SCOPUS Journal, IF: 1.595), ISSN: 1380-7501 (Print) 1573-7721 (Online).
• Stalin David D et al 2018, ‘Textures and Intensity Histogram Based Retinal Image Classification System Using Hybrid Colour Structure Descriptor’, Biomedical & Pharmacology Journal, Vol.11 (1), 577-582. SCOPUS Indexed.
• Stalin David D 2019, ‘Parasagittal Meningioma Brain Tumor Classification System based on MRI images and Multi phase level set formulation’, Biomedical & Pharmacology Journal, Vol.12 (2), 2019, SCOPUS Indexed.
• Stalin David D et al 2018, ‘Robust Classification of Brain Tumour in MRI Images using Salient Structure Descriptor and RBF Kernel-SVM’, TAGA Journal of GRAPHIC TECHNOLOGY, Vol.14 (64), 718-727. SCOPUS INDEXED.
• Stalin David D 2018, “Severity and Security Analysis of Medical Internet of Things”, International Journal of Innovative Research in Science Engineering and Technology, Vol. 7, Issue 12, pp.12239-12247, Impact factor: 7.089.
• Stalin David D et al 2017, “Qualitative, Quantitative and Comparative Analysis of Diabetic Eye Classifier”, International Journal of Scientific Research and Development (IJSRD), ISSN 2321-0613 Vol. 5, Issue 05 (2017), pp. 641–645. (IF 4.396).
• Stalin David D et al 2017, ‘Medical Image Classification System using Hybrid Texture features and Machine Learning Algorithm’ in International Convention on Dissemination of Innovative Research in Science, Engineering, Technology and Management Applications during 11th-12th March 2017, Kuala Lumpur, Malaysia.
• Stalin David D et al 2016, ‘A Comprehensive Survey of Security Mechanisms in Health Care Applications’ in IEEE International Conference on Communication And Electronics System (ICCES 2016) Organised by PPG Institute of Technology, Coimbatore during 21-22 October 2016. (Published by IEEE Xplore digital library) SCOPUS Indexed.
• Stalin David D et al 2015, “Development of DNS for Quantify the Operational Status of DNSSEC Deployment”, International Journal of Applied Engineering Research, ISSN 0973-4562, Vol. 10, Issue 45 (2015), pp.31894-31897. (SCOPUS INDEXED).

Book Chapter - Scopus

• Stalin David, D. (2024). Execution of a Portable Fuzzy Controller for Speed Regulator Brushless DC Motors. In Industrial Control Systems (eds V.C. Pal, S.L. Tripathi and S. Ganguli). https://doi.org/10.1002/9781119829430.ch9.

Patents Published

• D. Stalin David, et.al., has published for a patent “Patient Management in Hospital Emergency System using Blockchain” in 2024.
• D. Stalin David, et.al., has published for a patent “Virtual Doctor to Detect the Patient Heart Beat and Body Temperature Monitoring” in 2024.
• D. Stalin David, et.al., has published for a patent “CNN-LSTM Based Covid-19 Diagnosis from Chest CT Scans” in 2023.
• D. Stalin David, et.al., has published for a patent “Artificial Intelligence-Enabled Adaptive Learning Systems” in 2023.
• D. Stalin David, et.al., has published for a patent “Non-Intrusive Personalized Smart Home Automation Using Big Data” in 2023.
• D. Stalin David, et.al., has published for a patent “Plant Disease Detection using Image Processing Techniques” in 2023.
• D. Stalin David, et.al., has published for a patent “Human Relationship Management System Using QR Code Technology with Smart Device” in 2023.
• D. Stalin David has published for a patent “IOT and ML based Air Quality Monitoring and Air Pollutant Prediction System” in 2023.
• D. Stalin David, et.al., has published for a patent “Intelligent & Smart Mirror Using IOT Technique” in 2023.
• D. Stalin David, et al. has published for a patent “Customer’s earnings, savings, and financial history-classification using machine learning technology” in 2022.
• D. Stalin David, et.al., has published for a patent “Automatic Human Personality Detection System using Machine Learning” in 2022.
• D. Stalin David, et.al., has published for a patent “Vehicle Driver Monitoring System using Deep Learning” in 2022.
• D. Stalin David, et.al., has published for a patent “Real Time Pedestrian Crossing Detection using Deep Learning” in 2022.
• D. Stalin David, et.al., has published for a patent “IOT and RFID Based Optimal Positioning of Autonomous Shock Absorber for Smart Vehicles” in 2022.
• D. Stalin David, et.al., has published for a patent “Low-Cost Smart E-Vehicle Charging Station with Battery Swapping Technology” in 2022.
• D. Stalin David, et.al., has published for a patent “Automatic Intelligent Detection of Cancer using Machine Learning” in 2022.
• D. Stalin David, et.al., has published for a patent “IOT and Machine Learning Enabled Waste Management System for Smart City” in 2021.
• D. Stalin David, et.al., has published for a patent “Intelligent Patient Healthcare Monitoring using AI” in 2021.
• D. Stalin David, et.al., has published for a patent “AI Based E-Vehicle Battery Power Management System” in 2021.
• D. Stalin David, et.al., has published for a patent “A System and Method for Wildlife Surveillance using Deep Learning” in 2021.
• D. Stalin David, et.al., has published for a patent “IOT Enabled Intelligent Solar Charge Controller for a Smart Irrigation System” in 2021.
• D. Stalin David, et.al., has published for a patent “Intelligent Connectivity Driving Using Vehicular Ad Hoc Network for Future Transportation” in 2021.
• D. Stalin David, et.al., has published for a patent “Brain Tumor Detection in PET Scan Images using Extended U-Net Framework with VGG-16 Encoder” in 2020.

Funded Projects Applied/Sanctioned

• Submitted a research proposal “VIRTUAL REALITY TRAINING FOR HYDROGEN FUEL CELL MAINTENANCE USING 3D MEDICAL IMAGE FUSION” to DST-HFC.
• Submitted a research proposal “Real time Detection and Alert system for Harmful Algal Blooms in Fresh Water Reservoirs using Optical Sensor Technology” to DST-WTC.
• Submitted a research proposal “Development of smart warehouse management system for early detection of spoilage using machine learning and IoT” to DST-STI.
• Submitted a research project proposal “Design and Development of Smart Landslide prediction system using sensor data and weather forecast data” to DST-IRDFP.
• Submitted a seminal proposal “Big Data Analytics in Cyber Intelligence” to DRDO.
• Submitted a research project proposal “Intelligent Knowledge-Based system for Hydrological Network (HydroNet) Design” to DST.
• Submitted a seminar proposal “Cyber Security- Data Intelligent Analysis” to SERB.
• Submitted a FDP proposal “Big Data Analytics” to AICTE.

Leadership and Organizational Capabilities

• Organized various guest lecturers for IT department, namely Big Data, Entrepreneurship Development, Hacking, etc.
• Organized symposiums like Robotics in Vel Tech Multi Tech Engineering College and hosted them.
• Organized symposiums like Wireless Communication in Vel Tech Multi Tech Engineering College.
• Organized symposiums like Digital Electronics in IFET Engineering College, Villupuram.
• Organized National Conference on Advanced Image Processing and Networking in IFET Engineering College, Villupuram.
• Acted as coordinator for Department Internal Symposiums, External Symposiums, Mini Project Expo, and External Project Expo.

Certifications

Scientific Index Ranking Certificate

IEI Membership Certificate

Research Interests

• Medical Image Processing
• Image Segmentation
• Edge Detection
• Pattern Recognition
• Machine Intelligence
• IoT

Projects Done

Software Skills

• MATLAB
• Python
• Java
• IoT Tools
• Machine Learning Frameworks

Research Achievements

• More than 92 Research articles are published in national and international journals (Science Citation/WoS indexed journals 6 and SCOPUS Indexed journals 32).
• Scopus Link: https://www.scopus.com/authid/detail.uri?authorId=57202894042
• Web of Science Link: https://www.webofscience.com/wos/author/rid/AAL-7893-2020
• Google Scholar Link: https://scholar.google.co.in/citations?hl=en&user=dqCY-o4AAAAJ
• Citations: 1319 | h-index: 24 | i10-index: 48
• Published a book titled Advertising Management and Sales Promotion, ISBN No. 978-93-92992-99-5.

No. of Publications

Administration

• Overall Coordinator of Higher Education Cell & Bon Voyage Program in Veltech Multitech Engineering College.
• NBA Criteria-7 incharge.
• PG project coordinator and staff advisor – PG and UG project evaluation, PG program seminar evaluation, and coordination of PG program activities.
• Sincerely assisting Principal/HOD/Chief superintendent in the smooth conduct of University examinations.
• Technical Reviewer in AR Research Publication & Conference World Journal.
• Editor in International Journal of Research in Advanced Engineering and Technology.
• Faculty in-charge and Mentorship for the batch, 2020-2021, 2021-2022, 2022-2023, 2023-2024.
• Played a key role in signing MoU with ZRAE Global Chennai on 21-08-2023 at Veltech Multitech Engineering College.

Membership in Scientific Associations

• Life Member of Indian Society for Technical Education (ISTE), LM112619.
• Life Member of Computer Science Teachers Association (CSTA) from 2017.
• Life Member of International Association Engineers Society (IAENG), 157735.
• Life Member of Institute of Research Engineers and Doctors, SM10100056292.
• Life Member of Computer Science and Engineering Society (ICSES), 9176.
• Member, Computer Society of India (CSI), I1503169.
• Member, IEEE, 99412221.

References

Reach Me @

Email: sdstalindavid707@gmail.com

Mobile: +91-8300429506

Address: Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai, Tamil Nadu, India.