Kazi Naimur Rahman -Mechatronics – Excellence in Research

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Kazi Naimur Rahman -Mechatronics

Mr. Kazi Naimur Rahman distinguished academic and researcher in the field Mechatronics and Computer Vision.  Kazi Naimur Rahman is a dedicated researcher with a profound passion for advancing knowledge in Mechatronics and Computer Vision. His academic journey is a testament to his commitment to rigorous exploration, showcasing a deep enthusiasm for contributing to cutting-edge projects and collaborating with fellow researchers. His expertise lies at the intersection of Mechatronics and Computer Vision, where he strives to push the boundaries of innovation and make significant contributions to these fields. Kazi Naimur Rahman’s relentless pursuit of excellence and collaborative spirit position him as a valuable asset in the realm of research, poised to make meaningful advancements in the convergence of Mechatronics and Computer Vision.

🌐 Professional Profiles

Educations: 📚🎓

He completed his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology in 2022. His academic journey continued as he pursued a Master of Science in Engineering from the Department of Mechanical Engineering at the same university, completing it in 2023. These educational experiences have equipped him with a strong foundation in both Mechatronics and Mechanical Engineering, shaping his expertise and preparing him for a promising career in the intersection of these fields.

Research Interests: 🧬🔬

Highly secured and Effective management of app-based online voting system using RSA encryption and decryption, deep learning verification technique, database security, admin panel. Applications of Network Science and Graph Analytics in Social, Biological, and Technological Networks,Mechatronics and Computer Vision,

Experience

After completing his Bachelor of Science in Engineering from the Department of Mechatronics and Industrial Engineering at Chittagong University of Engineering & Technology (CUET) from 2017 to 2022, he took on the role of a lecturer in the same department at CUET. Currently stationed at CUET-4349 in Pahartali, Raozan, Chattogram, he has dedicated one year to his position. During this time, he has made significant contributions to research, with a notable achievement of publishing two Q1 journal articles on ScienceDirect. His research encompasses areas such as networking, deep learning, machine learning, and also involves app development. His commitment to academic excellence and research output showcases his dedication to advancing knowledge in the field of Mechatronics and Industrial Engineering.

📚Top Noted Publication

Guanglei Zhao – Networked Multiagent Systems – Best Researcher Award

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Guanglei Zhao – Networked Multiagent Systems

Prof. Guanglei Zhao distinguished academic and researcher in the field Networked multiagent systems , He is an Associate Professor with the Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China. He has been actively involved in the field of academia, steadily progressing through various roles at Yanshan University. Since November 2020, he has served as a Professor, contributing to the university’s academic environment and research endeavors. Prior to this, from December 2017 to October 2020, he held the position of Associate Professor, demonstrating his dedication and expertise in his chosen field.

Before advancing to an associate professorship, he served as a Lecturer from January 2015 to November 2017, where he honed his teaching skills and imparted knowledge to students. His academic journey began in October 2012 when he assumed the role of a Research Fellow at The University of Melbourne, showcasing his commitment to research and contributing to the global academic community. Through these various roles, he has accumulated a wealth of experience and knowledge, making valuable contributions to both teaching and research domains

🌐 Professional Profiles

Educations: 📚🎓

He has a robust academic background, marked by his progressive pursuit of higher education in the field of engineering and control systems. In December 2014, he achieved his PhD in Control Theory and Control Engineering from Shanghai Jiao Tong University, a significant milestone that highlights his deep understanding and expertise in his field. Prior to this, in June 2009, he earned his Master’s degree in Systems Engineering from Huazhong University of Science and Technology, further solidifying his foundation in engineering principles and systems analysis. His academic journey commenced with the attainment of his Bachelor’s degree in Automation from Yantan University in June 2007, where he laid the groundwork for his future academic and professional endeavors. This educational pathway has equipped him with a comprehensive skill set and theoretical knowledge, essential for his subsequent achievements in academia and research.

Research Interest

control systems design, cooperative control of robot systems, networked control systems

 

📚Top Noted Publication
[1]. Hailong Cui, Guanglei Zhao, Shuang Liu, Zhijie Li, A Novel Adaptive Event-Triggered
Consensus Control Approach to Multi-Agent Systems with Guaranteed Positive MIET, IEEE
Transactions on Network Science and Engineering, 2023, 10.1109/TNSE.2023.3296450.
[2]. Hailong Cui, Guanglei Zhao, A Decentralized Dynamic Self-Triggered Control Approach
to Consensus of Multiagent Systems, IEEE Transactions on Systems, Man, and Cybernetics:
Systems, 53(9):5772-5783, 2023.
[3]. Guanglei Zhao, Quanzhong Liu, Prescribed-time Containment Control of High-order
Nonlinear Multi-Agent Systems Based on Distributed Observer, Journal of the Franklin
Institute, 360(10), 6736-6756, 2023.
[4]. Guanglei Zhao, Lanqing, Jin, Distributed Adaptive Dynamic Event-Triggered Secondary
Control for Islanded Microgrids with Disturbances, IEEE Transactions on Smart Grid,
14(6), 4268-4281, 2023.
[5]. Guanglei Zhao, Changchun Hua, Hybrid Event-Triggered Cooperative Output Regulation
of Multi-Agent Systems with Unreliable Communication Link, IEEE Transactions on
Cybernetics, 2023, 10.1109/TCYB.2023.3257140
[6]. Guanglei Zhao, Lanqing Jin, Hailong Cui, Yifeng Wang, Distributed Dynamic EventTriggered Secondary Control for Islanded Microgrids With Disturbances and Communication
Delays: A Hybrid Systems Approach, IEEE Transactions on Industrial Informatics,
19(8):8795-8805, 2023.
[7]. Guanglei Zhao, Changchun Hua, A Hybrid Systems Approach to Event-Triggered
Consensus of Multiagent Systems With Packet Losses, IEEE Transactions on Systems, Man,
and Cybernetics: Systems,53(3):1773-1787, 2023.
[8]. Guanglei Zhao, Hailong Cui, Changchun Hua, Hybrid Event-Triggered Bipartite Consensus
Control of Multi-Agent Systems and Application to Satellite Formation, IEEE Transactions
on Automation Science and Engineering, 20(3): 1760-1771, 2023.
[9]. Guanglei Zhao, Lanqing Jin, Yifeng Wang, Distributed Event-Triggered Secondary Control
for Islanded Microgrids With Disturbances: A Hybrid Systems Approach, IEEE Transactions
on Power Systems, 38(2):1420-1431, 2023..
[10]. Guanglei Zhao, Changchun Hua, Leaderless and Leader-Following Bipartite Consensus
of Multi-Agent Systems with Sampled and Delayed Information, IEEE Transactions on
Neural Networks and Learning Systems, 34(5):2220-2233, 2023.
[11]. Guanglei Zhao, Changchun Hua, Shuang Liu, Sampled-Data Dynamic Output Feedback
Consensus Control of Multi-Agent Systems, IEEE Transactions on Network Science and
Engineering, 9(5):3292-3301, 2022. 10.1109/TNSE.2022.3174224

Arturo Roman Messina – Technical networks – Best Researcher Award

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Arturo Roman Messina – Technical networks

Dr. Asturo Roman Messina distinguished academic and researcher in the field Technical Network , Arturo Roman-Messina currently works at the Centre for Research and Advanced Studies (Cinvestav) of the National Polytechnic Institute of Mexico. His current project is ‘Spatio-temporal Analysis of wide-area data’.

🌐 Professional Profiles

Educations: 📚🎓

He earned his Ph.D. in Electrical Engineering from Imperial College of Science Technology and Medicine at the University of London in 1991. Prior to that, he completed his M.Sc. in Ingeniería Eléctrica at the Instituto Politécnico Nacional in Mexico in 1987. His educational journey began with a B.E. in Ingeniero Mecánico Electricista from the Universidad Autónoma de Guadalajara in Guadalajara, Mexico, in 1984. With a diverse academic background spanning institutions in both the United Kingdom and Mexico, he has cultivated a rich foundation in electrical engineering and related fields.

 

Awards and Achievements: 🏆👏

He has garnered numerous accolades and recognitions throughout his distinguished career. In 2023, his paper titled “A Data-Driven Under Frequency Load Shedding Scheme in Power Systems,” co-authored by Hemin Golpira, Hassan Bevrani, Bruno Francois, and himself, was selected as one of the five outstanding papers by the IEEE Transactions on Power Systems. In 2018, he received the IEEE Power System Dynamic Performance (PSDP) Committee Prize Paper Award for the paper “A Dynamic Mode Decomposition Framework for Global Power System Oscillation Analysis,” authored by E. Barocio, B. C. Pal, N. F. Thornhill, and A. R. Messina. The year 2013 brought him the IEEE Power Engineering Society, Power System Dynamic Performance Committee, Technical Committee Working Group Recognition Award for his contributions to the “Identification of Electromechanical Modes.

” His significant contributions to the analysis of electric power systems led to his election as a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2012. Among other notable awards, he received the Knowledge Leadership Award in 2011 for his paper on modal analysis of inter-area oscillations in the Mexican interconnected system. Additionally, he was recognized in 2006 with the IEEE Power Engineering Society, Power System Dynamic Performance Committee, Technical Committee Working Group Recognition Award for his involvement in the “Task Force on Assessing the Need to Include Higher-Order Terms for Small-Signal (Modal) Analysis.” Notably, in 1987, he graduated with honors and academic distinction, earning a Master’s Degree in Electrical Engineering-Power Systems from the National Polytechnic Institute of Mexico.

Academic Experience

He has held a distinguished academic position as a Professor in the Graduate Studies Program in Electrical Engineering at Cinvestav del IPN since 1997. His commitment to advancing knowledge extends globally, as evidenced by his various visiting appointments at renowned institutions. In 2005-2006, he served as a Visiting Research Associate in the Department of Electrical and Computer Engineering at Arizona State University, Tempe, AZ, USA. Further expanding his academic reach, he was a Visiting Professor at Iowa State University, Ames, Iowa, USA, in 2003-2004, and at Imperial College of Science Technology and Medicine in London, UK, in 1998.

Prior to these international positions, from 1995 to 1997, he held the role of Visiting Professor in the Department of Electrical Engineering at the Universidad de Guadalajara in Guadalajara, Mexico. His academic journey began in 1986, and over the course of nearly a decade, until 1995, he served as a Professor in the Graduate Studies Program in Electrical Engineering at the National Polytechnic Institute in Mexico. Through these roles, he has made significant contributions to the field and has played a pivotal role in shaping the education and research landscape in electrical engineering.

Professional Activities

He has actively contributed to various facets of the electrical engineering community through his extensive involvement in professional committees and editorial roles. From 2023 to 2024, he served as a Member of the IEEE Fellow Committee, demonstrating his commitment to recognizing excellence in the field. In the previous year, from 2022 to 2023, he continued his involvement as a Member. His leadership skills were evident from 2016 to 2019 when he served as the Chairman of the Power System Stability Control Subcommittee within the Power Systems Dynamic Committee at IEEE. In 2013, he became a member of the Editorial Advisory Panel of the Journal Electric Power Systems Research, showcasing his dedication to advancing scholarly publications.

He assumed the role of Editor for the Electric Power Components & Systems Journal in 2013, further contributing to the dissemination of knowledge in the field. Additionally, from 2012 to 2018, he served as the Secretary of the Power System Stability Control Subcommittee within the Power Systems Dynamic Committee at IEEE. His editorial contributions extended to serving as an Associate Editor for the IEEE Transactions on Power Systems from 2011 to 2018. Since 2009, he has been a member of the Editorial Board for Electric Power Components and Systems and the International Journal on Power Systems Optimization. Furthermore, from 2009 to 2011, he contributed his expertise as a member of the Editorial Board for The Open Electrical & Electronic Engineering Journal. His multifaceted involvement highlights his dedication to advancing the field both in terms of academic publications and professional committee responsibilities.

Books and book chapters

1. Arturo Román Messina, Wide-area Monitoring of Interconnected Power Systems
(Segunda edición), IET The Institution of Engineering and Technology, IET Energy
Engineering 213, 2022
2. Hemin Golpira, A. Roman Messina, Renewable Integrated Power System Stability and
Control, IEEE-Wiley, 2021
3. Arturo R. Messina, Data Fusion and Data Mining for Power System Monitoring, CRC
Press, USA, 2020.
4. Arturo R. Messina (Editor), Power System Stability and Control. 17th Edition of the
Standard Handbook for Electrical Engineers, McGraw-Hill, Section 20, 2018, pp. 1239-
1327.
5. Arturo R. Messina, Rafael Castellanos, Claudia M. Castro, Emilio Barocio, Armando
Jiménez Zavala, “Large-Scale Wind Generation Development in the Mexican Power
Grid: Impact Studies, Handbook of Distributed Generation, Springer Verlag, March
2017, pp. 109-148.
3. A. R. Messina, Wide-Area Monitoring of Large Power Systems, IET, London, U.K.,
2015
4. A. R. Messina, R. Castellanos, R. Betancourt, “Advanced Wide-Area angle stability and
voltage control”, (ebook) 2011, Nova Science Publishers, Inc., NY, USA
5. Arturo Roman Messina (Editor), Interarea Oscillations in Power Systems: A
Nonlinear and Nonstationary Perspective, Power Electronics and Power Systems Series,
Springer Verlag, New York, March 2009.
6. T.J. Browne, V. Vittal, G.T. Heydt, and A.R. Messina, “Practical Application of Hilbert
Transform Techniques in Identifying Inter-area Oscillations,” in Inter-area Oscillations
in Power Systems – A Nonlinear and Nonstationary Perspective, pp. 101-126, Springer,
2009.

📚Top Noted Publication

Guangli Wu – Video Summarization – Best Researcher Award

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Guangli Wu – Video Summarization

prof Dr. Guangli Wu  distinguished academic and researcher in the field  Video summarization.  The existence of software vulnerabilities will cause serious network attacks and information leakage problems. Timely and accurate detection of vulnerabilities in software has become a research focus on the security field. Most existing work only considers instruction-level features, which to some extent overlooks certain syntax and semantic information in the assembly code segments, affecting the accuracy of the detection model. In this paper, we propose a binary code vulnerability detection model based on multi-level feature fusion. The model considers both word-level features and instruction-level features. In order to solve the problem that traditional text embedding methods cannot handle polysemy, this paper uses the Embeddings from Language Models (ELMo) model to obtain dynamic word vectors containing word semantics and other information. Considering the grammatical structure in the assembly code segment, the model randomly embeds the normalized assembly code segment to represent it. Then the model uses bidirectional Gated Recurrent Unit (GRU) to extract word-level sequence features and instruction-level sequence features respectively.

Eduvation

He pursued his academic journey with a solid foundation in computer science and technology, earning a Bachelor’s degree from Shandong Technology and Business University in 2003. Building upon this, he delved into the realm of Computer Application Technology, completing his Master’s degree at Northwest Minzu University in 2007. Driven by a passion for cultural diversity and linguistic exploration, he further expanded his expertise by attaining a doctoral degree in Chinese Minority Ethnic Languages and Literature from Northwest Minzu University in 2011. This educational trajectory reflects his commitment to a multidisciplinary approach, seamlessly blending computer technology with a profound understanding of language and culture.
Professional Profiles:

RESEARCH INTEREST

⚫ Video Summarization
⚫ Temporal Language Localization in videos
⚫ Botnet Detection
⚫ Binary Code Vulnerability Detection
⚫ Video Abnormal Event Detection
FUND PROJECTS
1. Natural Science Foundation of Gansu Province (17JR5RA161, 21JR7RA570)
2. Gansu University of Political Science and Law Major Scientific Research and Innovation Projects
(GZF2020XZDA03)
3. Young Doctoral Fund Project of Higher Education Institutions in Gansu Province (2022QB-123)
4. Gansu Province Higher Education Innovation Fund Project (2017A-068)
5. University-level Innovative Research Team of Gansu University of Political Science and Law
6. Longyuan Youth Innovation and Entrepreneurship Talent Project (2022QB-123)

MAIN SCIENTIFIC PUBLICATIONS

1. Guangli Wu,ShengTao Wang,Shipeng Xu. “Feature fusion over hyperbolic graph convolution networks for
video summarization.” IET Computer Vision,2023.
2. Guangli Wu,Tongjie Xu. “Video Moment Localization Network Based on Text Multi-semantic Clues
Guidance.” Advances in Electrical and Computer Engineering,2023,23(3):85-92.
3. Guangli Wu,Huili Tang. “Binary Code Vulnerability Detection Based on Multi-Level Feature Fusion.” IEEE
Access,2023,11: 63904-63915.
4. Guangli Wu,Shanshan Song,Leiting Li. “Video Summarization Generation Model Based on Transformer
and Deep Reinforcement Learning.” in 2023 8th International Conference on Computer and
Communication Systems (ICCCS). IEEE, 2023: 916-921.
5. Guangli Wu,Shengtao Wang,Liping Liu. “Fast Video Summary Generation Based On Low Rank Tensor
Decomposition.” IEEE Access,2021,9:127917-127926.
6. Guangli Wu,Zhenzhou Guo,Mianzhao Wang,Leiting Li and Chengxiang Wang. “Video Abnormal Event
Detection Based on CNN and Multiple Instance Learning.” in twelfth international conference on signal
processing systems. SPIE,2021:134-139.
7. Guangli Wu,Zhenzhou Guo,Leiting Li and Chengxiang Wang. “Video Abnormal Event Detection Based on
CNN and LSTM.” in 2020 IEEE 5th International Conference on Signal and Image Processing (ICSIP).
IEEE,2020: 334-338.
8. Guangli WU,Leiting LI,Zhenzhou GUO,Chengxiang WANG and Yanpeng, YAO. “Video summarization
Based on ListNet Scoring Mechanism.” in 2020 5th International Conference on Computer and
Communication Systems (ICCCS). IEEE,2020: 281-285.
9. Guangli WU,Liping LIU,Chen Zhang and Dengtai TAN. “Video Abnormal Event Detection Based on ELM.”
in 2019 IEEE 4th International Conference on Signal and Image Processing (ICSIP).IEEE,2019: 367-371

 

Harshavardhan Awari – Machine Learning-Healthcare

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Dr.  Harshavardhan Awari – Leading Researcher in Machine Learning-Healthcare

Dr.  Harshavardhan Awari a distinguished academic and researcher in the field of Machine Learning-Healthcare. His academic prowess traces back to his S.S.C., where he attained an impressive 82% in 1997. The culmination of his educational journey is marked by his Ph.D. research work, titled “A New Framework for Brain Tumor Detection and Classification in MRI Images.”

Eduvation

He earned his Ph.D. in Computer Science and Engineering from J.N.T. University Hyderabad on February 3, 2021. Prior to that, he completed his M.Tech in Computer Science from J.N.T. University, Hyderabad, in 2008, achieving a commendable 72%. His academic journey also includes a B.Tech in Computer Science from Ramappa Engineering College, where he graduated with a 62% from J.N.T. University in 2004. Additionally, he holds a Diploma in Computer Science from S.E.S.S.N. Murthy College, securing 74.86% from S.B.T.E.T. in 2000.

Professional Profiles:

RESEARCH ACTIVITIES

He has built a distinguished career in academia. From 2004 to 2006, he served as an Assistant Professor in the Computer Science Department at Dr. V. R. K. College of Engineering & Technology, Jagtial, gaining valuable teaching experience. Subsequently, he spent six years, from 2006 to 2012, as an Associate Professor in the Computer Science department at Vaageswari College of Engineering, Karimnagar. Further enriching his academic portfolio, he dedicated nine years, spanning from 2012 to 2021, to the position of Assistant Professor in the Computer Science Department at SR University, Warangal. During his tenure, SR University achieved noteworthy accreditations, including NAAC ‘A’ Grade, NBA Tier-1, NIRF (2020) ranking 120th, and ARIIA-2020 1st rank. Since 2021, he has been contributing his expertise as a Senior Assistant Professor at VNR Vignana Jyothi Institute of Engineering and Technology, Hyderabad. Notably, the institution holds an NAAC ‘A++’ Grade, NBA accreditation for five years, and a NIRF (2020) ranking between 6 to 25. Throughout his career, he has consistently demonstrated dedication to education and academic excellence.

Achievements:

  1. Primary Evaluator for the Hackthon organized by the Ministry of Education’s Innovation Cell and AICTE,2021.
  2. Editorial Member for the Blue Eyes Intelligence Engineering and Sciences Publication
  3. Editorial Member for the Lattice Science Publication
  4. Reviewer for the Imaging Science Journal
  5. Reviewer for the ICCINS-2022
  6. Reviewer for the The 4th International Conference on Machine Learning and Intelligent Systems
  7. Session Chair for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems(13.08.2021)
  8. Technical Committee member for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems
  9. Reviewer for the ICACECS2021 International Conference on Advances in Computer Engineering and Communication Systems
Awards:

He has garnered notable recognition and accolades throughout his career. In the academic year 2014-2015, he was honored as the Best eLearning Solutions and Two-Way HD Delivery Mechanism (ELSDM) Coordinator at SR Engineering College. His prowess in conceptual design was evident as he clinched the First Prize for Best Overall Conceptual Design in the “IUCEE EPICS Design Thinking Course” spanning from August 2017 to January 2018. Acknowledging his instrumental role, SWAYAM NPTEL presented him with a Certification of Appreciation for serving as the Single Point of Contact (SPOC) for the SWAYAM NPTEL Local Chapter.

His expertise extends to the academic and research realms, where he serves as a reviewer for esteemed journals including Inderscience, Springer Nature Scientific Reports (SNAPP), Applied Artificial Intelligence, Indian Journal of Image Processing and Recognition, and Blue Eyes Intelligence Engineering and Sciences Publication. He also actively contributes as a reviewer and session chair for various conferences, such as ICCINS-2022, ICACECS2021, ICACECS2022, ICCET – 2021, FICTA 2022, ICEAT-2021, and ICEAT-2022.

Further highlighting his commitment to academia, he served as a Program Committee (PC) member for the 10th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2022) organized by the National Institute of Technology Mizoram. He shared his insights and expertise as a resource person for the “Industry Institute Integrated Technology Transfer (I3T2)” at KGiSL Institute of Technology, Coimbatore, from March 14-19, 2022.

In recognition of his scholarly contributions, he has been appointed as a member of the Editorial Board for journals by Lattice Science Publication (LSP) and Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) for the years 2021-22 and 2022-2023. Adding to his list of achievements, he received the Best Faculty Award from the International Conference on Engineering and Advancement in Technology (ICEAT) in association with Malla Reddy Institute of Engineering and Technology, Hyderabad, on July 8, 2022.

Publication

An automated learning model for sentiment analysis and data classification of Twitter data using balanced CA-SVM

CPD Cyril, JR Beulah, N Subramani, P Mohan, A Harshavardhan, …
Concurrent Engineering 29 (4), 386-395 _ 2021

Text categorization Performance examination Using Machine Learning Algorithms

BP Yadav, S Ghate, A Harshavardhan, G Jhansi, KS Kumar, E Sudarshan
IOP Conference Series: Materials Science and Engineering 981 (2), 022044 – 2020

IoT Based Smart Solar Atmospheric Water Harvesting System

E Sudarshan, SN Korra, KMP Rajasekharaiah, S Venkatesulu, …
IOP Conference Series: Materials Science and Engineering 981 (4), 042004 – 2020

Cardiovascular disease prediction using deep learning techniques

SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan
IOP conference series: materials science and engineering 981 (2), 022006 – 2020

Cardiovascular disease prediction using deep learning techniques

SN Pasha, D Ramesh, S Mohmmad, A Harshavardhan
IOP conference series: materials science and engineering 981 (2), 022006 – 2020

 

 

 

Sankar Shanmuganathan – Generative adversarial networks

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Dr. Sankar Shanmuganathan – Leading Researcher in Generative adversarial networks

Dr.  Sankar Shanmuganathan  a distinguished academic and researcher in the field of Generative adversarial networks. He is currently serving as a Professor in the Department of Computer Science and Engineering at Saveetha School of Engineering, SIMATS, Chennai, Tamil Nadu, India. A dedicated, resourceful, and goal-driven professional educator, he is passionate about programming and has a solid commitment to academic growth. With over 20 years of experience, he is a seasoned researcher and has taught courses for both undergraduate and postgraduate students. He has successfully supervised 20 Bachelor’s theses and 10 Master’s theses, demonstrating his mentorship skills. His contributions extend to publishing articles in peer-reviewed journals and conferences, obtaining three patents, and securing grants from AICTE for organizing technical events.🌟💻🔬

Eduvation

He completed his Ph.D. in Information Technology from Hindustan University in 2018. 🎓 Prior to that, he earned a Master’s degree in Software Engineering from Periyar Maniammai College of Technology, affiliated with Anna University, Chennai, Tamil Nadu, in 2006, achieving a first-class distinction. 🏆 His academic journey began with a Bachelor’s degree in Computer Engineering from Arulmigu Kalasalingam College of Engineering, Srivilliputhur, Tamil Nadu, in 1992, where he also excelled with a first-class distinction. 🏅 This degree was affiliated with Madurai Kamaraj University, Madurai, Tamil Nadu. 🌟

Professional Profiles:

RESEARCH ACTIVITIES

🗣️He has obtained three patents from IP Australia, showcasing his innovative contributions. The first patent, dated October 27, 2021 (Patent No: 2021102955), is titled “A System and Method for Agile Meeting Dashboard.” The second patent, dated May 5, 2021 (Patent No: 2021101703), pertains to “3D Printing of Cost-Effective Human Skull Models and Skull Implants.” The third patent, dated April 7, 2021 (Patent No: 2021100286), is for “Aqua Life: A Compact Device Extracting Drinkable Water from Sea Water.”

In addition to his research achievements, he has undertaken various consultancy projects. Notably, he developed a software product for MEL Systems and Services Ltd, Chennai, involving the creation of advanced reports using Python, Django, and MongoDB. Another significant project involved the development of a software product to detect glaucoma in optical coherence tomography images for M/s Appasamy Associates R & D, Chennai, implemented in Java and Matlab.

Furthermore, he contributed to software bug fixing for General Electricals T & D Limited, Chennai, utilizing VB.NET technology. Additionally, he conducted corporate training for General Electricals T & D Limited, Chennai, imparting VB.NET platform skills to GE employees, preparing them to independently develop utility software. The funds received for training amounted to Rs. 2,00,000. Overall, his diverse expertise and accomplishments reflect his commitment to both innovation and practical application in the field.

BOOKS AUTHORED / CHAPTER CONTRIBUTED

AUTHORED BOOK on OBJECT ORIENTED PROGRAMMING Published by Laxmi PublicationsChennai,
2009
CHAPTER CONTRIBUTED LEAN SIX SIGMA: SIX SIGMA PROJECTS AND PERSONAL EXPERIENCEPublished by In-Tech Open Access Publications, Crotia, 2012

RESEARCH PAPERS PUBLISHED

  • Deep generative adversarial networks with marine predators algorithm for classification of Alzheimer’s disease using electroencephalogram
    • Authors: J.C. Sekhar, Ch Rajyalakshmi, S. Nagaraj, S. Sankar, Rajesh Saturi, A. Harshavardhan
    • Published in: Journal of King Saud University – Computer and Information Sciences
    • Volume 35, Issue 10, December 2023
    • DOI: 10.1016/j.jksuci.2023.101848
  • Exploration of Performance of Dynamic Branch Predictors used in Mitigating Cost of Branching
    • Authors: Akash Ambashankar, Ganesh Chandrasekar, AR Charan, S Sankar
    • Published in: 2022 IEEE Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT)
  • AI Enabled Educational Bot to Improve Learning Outcomes using Bag of Words Algorithm
  • Intelligent Organ Transplantation System Using Rank Search Algorithm to Serve Needy Recipients
    • Authors: S Sankar, U Shuruti, B Bhuvaneshwari
    • Published in: 2022 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)
  • Understanding Query Intention in Search Queries of Learners in Blended Learning Environments
    • Authors: Vivekananthamoorthy Natarajan, Sankar Shanmuganathan
    • Published in: 2022 IEEE 4th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA)
  • Sign language translator using YOLO algorithm
    • Authors: Bhavadharshini, M., Josephine Racheal, J., Kamali, M., Sankar, S.
    • Published in: Advances in Parallel Computing, 2021, 39, pp. 159-166
  • Detection of Anomalous Behaviour in Online Exam towards Automated Proctoring
    • Authors: Susithra V, Resham A, Bishruti Gope, Sankar
    • Published in: IEEE International Conference on System, Computation, Automation and Networking
    • DOI: 10.1109/ICSCAN53069.2021.9526448
  • Development of Novel Technique to Detect and Validate Pulmo Malignancy during Early Stages
    • Authors: Dhanalakshmi R, Shree Harini R, Pravallika M, S Sankar
    • Published in: International Journal of Current Research and Review, volume: 13 issue: 17, pp. 56-60, 12th September 2021
    • DOI: http://dx.doi.org/10.31782/IJCRR.2021.131711
  • Sentiment Analysis of Twitter Political Data using GRU Neural Network
    • Authors: Seenaiah Pedipina, Sankar S and R Dhanalakshmi
    • Published in: International Journal of Advanced Science and Technology 29(6), pp. 5307-5320, ISSN 2207-6360, SERSC Australia
  • Sentimental Analysis On Twitter Data Of Political Domain
    • Authors: Seenaiah Pedipina, Sankar S and R Dhanalakshmi
    • Published in: Dogo Rangsang Research Journal, UGC Care Group I Journal, Vol-10 Issue-07 No. 16 July 2020, ISSN:2347-7180
  • An Improved Framework for Sentiment Analysis for College Reviews
    • Authors: T. Sri Devi, R. Dhanalakshmi, S. Sankar
    • Published in: International Journal of Advanced Trends in Computer Science and Engineering, 9(2), 1959-1963