Cicil Denny | AI and Machine Learning | Best Researcher Award |

Published on by Cognitive Scientist Awards

Mr Cicil Denny | AI and Machine Learning |  Best Researcher Award

Student/Member at Vellore Institute of Technology, Chennai ,India

🌟 Cicil Melbin Denny J is a versatile Data Analyst with a strong background in Artificial Intelligence, Machine Learning, and Software Engineering. With hands-on experience in programming languages like Python, Java, C++, and JavaScript, and advanced skills in AI, ML, and Deep Learning frameworks such as PyTorch and TensorFlow, Cicil excels in tackling complex data problems. Notably, he led a research project on Semantic Segmentation for Underwater Imagery (SUIM), achieving an impressive mIoU of 84.83%, which was published in the prestigious “Results in Engineering” journal. Cicil’s technical prowess extends to data analytics tools like MySQL and NoSQL, and he is adept at using PowerBI and Tableau for business insights. His proficiency in network administration, cloud services (AWS, Azure, Google Cloud), and cybersecurity underlines his comprehensive skill set. Recognized for his problem-solving attitude and effective communication skills, Cicil is well-equipped to contribute to product analysis and support, making him a valuable asset in any tech-driven environment. 📊💡🤖

professional profile:

📚 Education:

  • B.Tech in CSE with specialization in Artificial Intelligence and Machine Learning, CGPA: 8.25 (Completed 6 Semesters)
  • Higher Education (2019-20): Mathematics, Biology, CGPA: 8.38

💼 Work Experience:

  • Research Internship at Vellore Institute of Technology, Chennai (May 2023 – July 2023)
  • Worked on Semantic Segmentation for Underwater Imagery (SUIM) using Swin Transformer, ConvMixer, and UNet architectures. Achieved mIoU metrics of 84.83% and published in “Results in Engineering” Journal – 2024 by Elsevier.

🔍 Skills:

  • Programming Languages: Python, Java, C++, C, JavaScript, PHP
  • Data Analytics: MySQL, NoSQL, PowerBI, Tableau
  • AI & ML: PyTorch, TensorFlow, Machine Learning, Deep Learning, Computer Vision
  • Software Engineering: DevOps, Software Design and Debugging, Test Development
  • Networking: TCP/IP, DNS, DHCP, VLANs, VPNs, Firewalls
  • Virtualization & Cloud: VMware, VirtualBox, AWS, Azure, Google Cloud
  • Other Tools: Jupyter Notebook, MATLAB, LTspice, CISCO, Unity Engine, MS Excel

🏆 Certifications:

  • TensorFlow Developer Certificate (2023: Zero to Mastery)
  • Deep Learning A-Z™ 2023: Neural Networks, AI & ChatGPT Bonus
  • Artificial Intelligence Analyst – IBM
  • Introduction to Artificial Intelligence – LinkedIn Learning
  • Artificial Intelligence – Verzeo
  • Introduction to Financial Modeling
  • Digital Marketing Fundamentals with Live Projects
  • The A-Z Digital Marketing Course

🔬 Research Focus:

  • 🔬 Cicil Melbin Denny J’s research focuses on cutting-edge technologies in AI and Machine Learning. He has extensively worked on Semantic Segmentation for Underwater Imagery using advanced architectures like Swin Transformer, ConvMixer, and UNet, achieving high accuracy. His work on IoT botnet detection leverages autoencoders, LSTM-CNN, and DNN to enhance cybersecurity. Additionally, he explores route mapping algorithms, blockchain technology, and cryptocurrency trends. Cicil’s dedication to innovation is evident through his projects on malware detection using ML algorithms and IoT-based accident intimation systems, aiming to improve safety and security in various domains. 🌊🤖🔒🌐

👩‍🏫 Teaching & Knowledge Sharing:

  • Advanced skills in AI, ML, Deep Learning, and Computer Vision with hands-on experience.
  • Prepared detailed reports and suggested improvements on QA patterns for Amazon Warehouses.

 

publications🌟

Shweta Koparde | Cognitive Development | Best Researcher Award

Published on by Cognitive Scientist Awards

Mrs Shweta Koparde | Cognitive Development |  Best Researcher Award 

D Y Patil University, Navi Mumbai, India

Shweta Ashish Koparde is a dedicated Computer Engineering academic currently pursuing her PhD at D.Y. Patil University, Mumbai. She holds an M.E. with Distinction and a B.E. from Pune University. With extensive teaching experience in subjects like AI and Computer Networks 🖥️, she has also guided colleges through NBA accreditation and contributed to SPPU syllabus revisions 📚. Skilled in Python, C++, Java, and more, Shweta blends practical industry experience from her time as a Software Engineer with her academic pursuits. She was awarded the “Best Outgoing Student” for her M.E. from MCOERC, Nashik 🏆.

 

Professional Profile:

Education

PhD in Computer Engineering (Pursuing) DY Patil University, Mumbai RPS-II completed M.E. in Computer Engineering (2013)University of Pune First Class with Distinction from MCOERC, Nashik 7.88 CGPA 🎓✨ B.E. in Computer Engineering (2005) University of Pune First Class from VIT, Pune 64.06%

H.S.C. (High School Certificate) S.M.V Akurdi, Pune Board of Pune 84.00% First Class with Distinction 🎖️🏅S.S.C. (Secondary School Certificate) Jana Prabodhini, Akurdi, Pune Board of Pune 87.06% First Class with Distinction 🏆📜

Technical Skill Sets

Operating Systems: Windows, Linux, Ubuntu, Android 🖥️🐧📱 Programming Languages: Python, C, C++, VB 6, Java, VB.Net, Android Bundle, Android Studio 💻📲 Databases: Oracle 9i, SQLite 🗄️ Tools: Rational Rose, Lex, Yaac, NS2 🛠️🔧

Work Experience

Assistant Professor

Guided four colleges (KBT COE, Nasik; PCCOE Akurdi; NMIT Talegaon; Vidyavardhini College of Engg & Technology, Mumbai) for NBA visit 🏫👨‍🏫Successfully registered for PhD in Computer Engineering at RAIT, Nerul, and DY Patil University 📚📝Worked as member in SPPU syllabus revision for TE 2019 and BE 2019 Course 📋Served as SPPU Paper setter for subjects SPOS and Augmented Reality 📝📚Institute NBA Coordinator & Criteria-10 Coordinator 🏅ISO Coordinator 🏢✔️In charge for direct second-year admission process 🏫PBL coordinator for Second Year Project 🔍Higher study cell coordinator 📈🎓Reviewer and session chair for CPGCON -2016 🗣️📑NSS member and coordinator at various colleges 🌱🤝External examiner for university exams 🎓

Software Engineer (2.5 years)

Synthesis Software, Pune 🖥️Winjit Technologies, Nashik 💼

Subjects Taught

Computer Networks 🌐 System Programming & Operating System 🖥️ Artificial Intelligence & Robotics 🤖 Digital Electronics & Logic Design 🔌 Smart System Design and Application 🏗️  Theory of Computation 📚 Operating System Design 🖥️ Principles of Programming Languages 💻 Discrete Structures 🧮 Software Architecture 🏛️ Object-Oriented Programming 🌟  Mobile Computing 📱

Achievements

  • Received the “Best Outgoing Student” Award for M.E. from MCOERC, Nashik 🏅🎓

Activities & Contributions

Completed multiple MOOC certifications in DevOps and IoT under PBL via Coursera 📜💡 Coordinated an event on “Architecting the Next Generation Governance” with Dr. K. Subramanian 🎤📊 Worked in prize distribution committee for annual functions 🎉 Maintained and managed student achievement records 📈📊 Worked in ARC for 5 years and on mandatory disclosure for compliance reports 📋✔️

Research Focus

Currently pursuing a PhD in Computer Engineering, focusing on advanced computational methods and their applications in real-world problems 🧠🔍 Engaged in syllabus revision and paper setting for advanced computer engineering courses, contributing to academic standards and curriculum development 📚✨

publication

 

 

 

Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award

Published on by Cognitive Scientist Awards

Dr Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award 

Associate Professor at  SR University Warangal India

Dr. Nafis Uddin Khan is an esteemed academic and researcher specializing in Information and Communication Technology. With a Ph.D. from the Atal Bihari Vajpayee – Indian Institute of Information Technology & Management, Gwalior, he has a profound expertise in computer vision, image processing, and fuzzy logic applications in signal and image processing. He currently serves as an Associate Professor at SR University Warangal.

Education 📚

  • Ph.D. in Information and Communication Technology from Atal Bihari Vajpayee – Indian Institute of Information Technology & Management, Gwalior, India (2013).
  • M.Tech in Software Systems from Samrat Ashok Technological Institute, Vidisha, under Rajiv Gandhi Prodyogiki Vishwavidyalaya, Bhopal, India (2008).
  • B.E. in Electronics & Telecommunication Engineering from Jawaharlal Darda Institute of Engineering & Technology, Yavatmal, under Amravati University, Amravati, India (2003).
  • H.S.S.C. from Tiny Tots E. M. H. S. School, Seoni, M.P. Board, India (1997).
  • H.S.C. from Gyan Jyoti E. M. H. S. School, Nainpur, M.P. Board, India (1995).

Work Experience 💼

  1. Associate Professor, School of CS & AI, SR University Warangal, Telangana, India (since August 2023).
  2. Assistant Professor (Senior Grade), Jaypee University of Information Technology, Solan, Himachal Pradesh, India (2017-2023).
  3. Assistant Professor (Senior Grade), Jaypee University of Engineering and Technology, Raghogarh, Madhya Pradesh, India (2013-2017).
  4. Lecturer, Anand Engineering College, Agra, Uttar Pradesh, India (2008-2009).
  5. Lecturer, Hitkarini College of Engineering and Technology, Jabalpur, Madhya Pradesh, India (2004-2005).

Skills & Certifications 💡

  • Programming: Matlab, C, C++, Python.
  • Technical Writing
  • Team Work and Leadership

Administrative Roles 🏢

  • Associate Dean – Admissions, SR University, Warangal (since January 2024).
  • Training and Placement – Faculty Coordinator, Jaypee University of Information Technology, Solan (2017-2023).
  • Coordinator of Student Activities and Placement Section in Internal Quality Assurance Cell (IQAC), Jaypee University of Information Technology, Solan (2017-2023).

Research Focus 🔬

  • Statistical Image Processing
  • Medical Image Processing
  • Fuzzy Logic based Applications in Signal and Image Processing
  • Soft Optimization Techniques in Signal and Image Processing

Professional Contributions 📈

  • Enhanced sharp edge features and reduced Gaussian noise using singular value decomposition on optimal anisotropic diffused images.
  • Developed a fuzzy-based diffusion coefficient function for selective smoothing of impulsive noise.
  • Explored soft computing-based optimization techniques for speckle reduction in medical ultrasound and X-ray images.

Workshops and Conferences 🗓️

  • Coordinated multiple workshops and short-term programs on AI, signal processing, and leadership in education.
  • Served as an Invited Session Chair and Organizing Committee Member in various international conferences, including the IEEE International Conference on Signal Processing, Computing and Control.

Memberships 🤝

  • Active participation in academic and professional organizations through organizing and coordinating roles in numerous conferences and workshops.

 

Publications 📚

  1. Fuzzy C-Means Clustering Based Selective Edge Enhancement Scheme for Improved Road Crack Detection 🛤️
    • Authors: Bhardwaj, M., Khan, N.U., Baghel, V.
    • Journal: Engineering Applications of Artificial Intelligence
    • Year: 2024
  2. Fuzzy Based Self-Similarity Weight Estimation in Non-Local Means for Gray-Scale Image De-Noising 🖤
    • Authors: Thakur, N., Khan, N.U., Sharma, S.D.
    • Journal: Digital Signal Processing: A Review Journal
    • Year: 2024
  3. Road Crack Detection Using Pixel Classification and Intensity-Based Distinctive Fuzzy C-Means Clustering 🛤️
    • Authors: Bhardwaj, M., Khan, N.U., Baghel, V.
    • Journal: Visual Computer
    • Year: 2024
  4. A Comparative Survey on Histogram Equalization Techniques for Image Contrast Enhancement 📊
    • Authors: Malik, A., Khan, N.U.
    • Journal: Lecture Notes in Electrical Engineering
    • Year: 2024
  5. A Two Phase Ultrasound Image De-Speckling Framework by Nonlocal Means on Anisotropic Diffused Image Data 🩺
    • Authors: Thakur, N., Khan, N.U., Sharma, S.D.
    • Journal: Informatica (Slovenia)
    • Year: 2023
  6. An Efficient Fuzzy Inference System Based Approximated Anisotropic Diffusion for Image De-Noising 🖥️
    • Authors: Thakur, N., Khan, N.U., Sharma, S.D.
    • Journal: Cluster Computing
    • Year: 2022
  7. Digital Image Enhancement and Reconstruction 📘
    • Authors: Rajput, S.S., Khan, N.U., Singh, A.K., Arya, K.V.
    • Journal: Digital Image Enhancement and Reconstruction
    • Year: 2022
  8. Brain Tumor Image Segmentation Using K-Means and Fuzzy C-Means Clustering 🧠
    • Authors: Bhardwaj, M., Khan, N.U., Baghel, V., Vishwakarma, S.K., Bashar, A.
    • Journal: Digital Image Enhancement and Reconstruction
    • Year: 2022
  9. Improved Road Crack Detection Using Histogram Equalization Based Fuzzy-C Means Technique 🛤️
    • Authors: Bhardwaj, M., Khan, N.U., Baghel, V.
    • Conference: PDGC 2022 – 7th International Conference on Parallel, Distributed and Grid Computing
    • Year: 2022
  10. Cuckoo Search Optimized Histogram Equalization for Low Contrast Image Enhancement 🐦
    • Authors: Thakur, N., Khan, N.U., Sharma, S.D.
    • Conference: PDGC 2022 – 7th International Conference on Parallel, Distributed and Grid Computing
    • Year: 2022