Esha Aftab – Neural Models – Best Researcher Award

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Esha Aftab – Neural Models – Best Researcher Award

Ms. Esha Aftab  distinguished academic and researcher in the field Neural Models.  She possesses a strong foundation in various undergraduate courses such as Introduction to Computing, Object-Oriented Programming (C++), Data Structures and Algorithms, Database Systems, Digital Logic Design, and Design and Analysis of Algorithms. Her technical proficiencies encompass a wide range of technologies and languages including C#, ASP, .NET Framework, PRISM Framework, MATLAB, MS SQL Server 2005, Oracle, Java, JavaScript, Java ME, and OpenGL.

🌐 Professional Profiles

Educations📚📚📚

She is currently pursuing her PhD at Punjab University College of Information Technology, with a focus on advancing her knowledge and expertise in her field. Prior to this, she completed her M.Sc in Computer Science at Lahore University of Management Sciences (LUMS) in 2012, achieving a commendable CGPA of 3.66 out of 4.0. Her academic journey commenced with a Bachelor’s degree in Computer Science from the National University of Computer & Emerging Sciences (NU-FAST), Lahore, where she graduated in 2009 with an impressive CGPA of 3.74 out of 4.0. Her educational background reflects a consistent dedication to academic excellence and a strong commitment to her field of study.

Work Experience

She has amassed a wealth of experience across academia and industry. Currently serving as an Assistant Professor at Punjab University College of Information Technology (PUCIT) since 2019, her role involves conducting programming and technical courses, with a particular focus on subjects such as Data Structures, Algorithms, and Machine Learning. Prior to this, she held the position of Lecturer at NUCES-FAST from 2012 to 2019, where she contributed significantly to the academic environment. Additionally, she served as Visiting Faculty in 2012, delivering the ‘Applied Programming’ course for MSc students. Her industry experience includes a stint as a Software Engineer at Techlogix Pvt. Limited from 2009 to 2010, where she was involved in designing and developing automated business processes for clients like Ufone, Motorola, and Nestle. Her projects ranged from enterprise application integration for Ufone using IBM WebSphere Integration Developer to implementing automated business processes for Motorola using Savvion BPM Software and devising algorithms for Nestle’s Milk Balancing System. She adeptly utilized various development tools such as Microsoft Visual Studio 2008, Silverlight, Telerik Toolkit, and .Net Framework to deliver innovative solutions across her diverse roles.

Technical Proficiencies
 She is adept at working in different development environments such as Linux (Ubuntu), MS Visual Studio (2008/2010), Netbeans IDE, Eclipse, Savvion BPM Software, and IBM Websphere Toolkit. Noteworthy among her major projects is her contribution to a Computer Vision Research Project focused on developing a Shape and color-based Jigsaw Puzzle Solver, achieving successful results in shape-based jigsaw piece identification and implementing piece placement algorithms using image stitching techniques. Additionally, she has contributed to a research-based project on Image Annotation, employing statistical methods to label images according to their content. Her diverse skill set and hands-on experience in both academic and research settings underscore her proficiency and versatility in the field of computer science

Academic Achievements

 Silver Medalist: 2nd position in BCS (FAST)
 Dean’s List Honor Certificate (FAST)

 

📝🔬Publications📝🔬

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