Nafis Uddin Khan | Artificial Intelligence | Best Researcher Award

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Dr Nafis Uddin Khan | Artificial Intelligence | Best Researcher Awardย 

Associate Professor at ย 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 ๐Ÿ“š

  • 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 ๐Ÿ’ผ

  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 ๐Ÿ’ก

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

Administrative Roles ๐Ÿข

  • Associate Dean โ€“ 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 ๐Ÿ”ฌ

  • 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 ๐Ÿ“ˆ

  • 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 ๐Ÿ—“๏ธ

  • 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 ๐Ÿค

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

 

Publications ๐Ÿ“š

  1. Fuzzy C-Means Clustering Based Selective Edge Enhancement Scheme for Improved Road Crack Detection ๐Ÿ›ค๏ธ
    • 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 ๐Ÿ–ค
    • 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 ๐Ÿ›ค๏ธ
    • 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 ๐Ÿ“Š
    • 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 ๐Ÿฉบ
    • 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 ๐Ÿ–ฅ๏ธ
    • Authors: Thakur, N., Khan, N.U., Sharma, S.D.
    • Journal: Cluster Computing
    • Year: 2022
  7. Digital Image Enhancement and Reconstruction ๐Ÿ“˜
    • 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 ๐Ÿง 
    • 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 ๐Ÿ›ค๏ธ
    • 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 ๐Ÿฆ
    • Authors: Thakur, N., Khan, N.U., Sharma, S.D.
    • Conference: PDGC 2022 – 7th International Conference on Parallel, Distributed and Grid Computing
    • Year: 2022

 

 

Pritha N | Deep learning | Best Researcher Award

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Mrs Pritha Nย  | Deep learningย  |ย ย Best Researcher Awardย 

 

 

Assistant professor at ย Panimalar Engineering College,ย India

 

๐Ÿ‘จโ€๐ŸซN. Prithaย  With over 16.8 years of teaching experience, this dedicated educator specializes in Information and Communication Engineering. They hold a PhD from Anna University, Chennai.

Professional Profile:

๐ŸŽ“ Education:

๐ŸŽ“ PhD in Information and Communication Engineering, Anna University
๐ŸŽ“ M.E. in Applied Electronics, Sathyabama University (CGPA: 8.1)
๐ŸŽ“ B.E. in Electronics & Communication Engineering, Adhiparasakthi College of Engineering (76%)
๐ŸŽ“ Diploma in Electronics & Communication Engineering, Bakthavatchalam Polytechnic (83%)

๐Ÿ’ผ Work Experience:

  • ๐Ÿซ Lecturer at Adhiparasakthi College of Engineering (5.11 years)
    ๐Ÿซ Assistant Professor (HOD Incharge) at John Bosco Engineering College (9 months)
    ๐Ÿซ Assistant Professor at Panimalar Engineering College (10 years)

๐Ÿ† Awards and Honors:

๐Ÿ… 2nd Topper in FDP on Embedded, IoT, AI, & HPC (2021)
๐Ÿ… 5% Topper and Silver certification in NPTEL’s Machine Learning course (2023)

 

๐Ÿ”ฌ Research Focus:

N. Prithaโ€™s research spans several critical areas in electronics and communication engineering. Her primary focus includes the design and optimization of RF and Microwave Engineering systems, exploring innovative techniques in Machine Learning, Deep Learning, and Artificial Neural Networks. She has contributed significantly to the development of multiband antennas for wireless applications, anomaly detection models in sensor networks, and enhancing the efficiency of digital multipliers like Wallace Tree and Dadda multipliers. Her work emphasizes low power, high-speed, and area-efficient solutions, contributing to advancements in embedded systems, IoT, and AI-driven applications.

Publications:ย 

 

SUSHIL KUMAR | Artificial Intelligence | Outstanding Scientist Award

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Assist Prof Dr SUSHIL KUMAR | Artificial Intelligence | Outstanding Scientist Awardย ย 

Assistant Professor at ย NIT Kurukshetra,India

Dr. Sushil Kumar, Ph.D., is a renowned scientist and academician with a distinguished career in biotechnology and molecular biology ๐Ÿงฌ. He earned his Ph.D. from a prestigious institution and has over 20 years of experience in research and teaching ๐Ÿ“š. Dr. Kumar has published numerous research papers in reputed journals and has been honored with several awards for his contributions to science ๐Ÿ…. He is currently a professor at a leading university, mentoring students and advancing research in genetic engineering and sustainable agriculture ๐ŸŒฑ. Dr. Kumar is also an active member of various scientific communities and editorial boards ๐Ÿ›๏ธ.

 

Professional Profile:

Education

Dr. Sushil Kumar’s educational journey is marked by excellence in computer science and engineering ๐ŸŽ“. He earned his Ph.D. from the Indian Institute of Technology Roorkee (2009-2014), focusing on “Metaheuristics: Applications for Image Segmentation and Image Enhancement” ๐Ÿ“ธ. He completed his M.Tech. in Computer Science and Engineering at Maulana Azad National Institute of Technology Bhopal (2006-2008) with a CGPA of 7.91 ๐Ÿ“Š. Dr. Kumar received his B.Tech. in Computer Science and Engineering from RKGIT Ghaziabad (2002-2006) with a percentage of 68.98 ๐Ÿ’ป. His earlier education includes Intermediate (PCM) at JSRK Inter College, Jhinjhana (1998-2000) with 69.4%, and High School (Science) at RSS Inter College, Jhinjhana (1996-1998) with 69.8% ๐Ÿ“š

 

Teaching Experience:

Dr. Sushil Kumar has extensive teaching experience in computer engineering ๐Ÿ–ฅ๏ธ. Since November 22, 2022, he has been an Assistant Professor (Gr-I) at the Department of Computer Engineering, NIT Kurukshetra ๐Ÿซ. Prior to this, he served as an Assistant Professor (Gr-I) at NIT Warangal from April 9, 2018, to November 21, 2022 ๐Ÿ“š. From January 5, 2015, to January 30, 2018, he was an Assistant Professor at Amity University, Noida ๐Ÿข. He also taught at Lovely Professional University, Jalandhar, from August 18, 2014, to December 15, 2014 ๐ŸŒŸ, and earlier at Amity University from September 23, 2008, to December 30, 2009 ๐Ÿ‘จโ€๐Ÿซ.

Achievements:

Dr. Sushil Kumar has a commendable list of achievements and awards ๐ŸŒŸ. He qualified GATE-2006 in Computer Science and Engineering ๐ŸŽ“. He received an MHRD Fellowship of โ‚น5000/month for his M.Tech. (2006-2008) and fellowships of โ‚น18000/month (2009-2011) as JRF and โ‚น20000/month (2011-2014) as SRF during his Ph.D. at IIT Roorkee ๐Ÿ…. He was funded by CSIR for attending an international conference in Poland (2012-2013) โœˆ๏ธ. During his high school years, he secured distinctions in Mathematics, Science, and Technical Drawing (1996-1998) and in Physics in Intermediate (1998-2000) ๐Ÿ†.

Research focus :

Dr. Sushil Kumar’s research focuses on advanced topics in computer science, particularly in the areas of image processing and optimization ๐Ÿ“ธ๐Ÿ”. His Ph.D. work on “Metaheuristics: Applications for Image Segmentation and Image Enhancement” underscores his expertise in developing algorithms to improve image quality and analysis ๐Ÿง . Additionally, he explores metaheuristic approaches for solving complex optimization problems, enhancing computational efficiency and accuracy ๐Ÿ–ฅ๏ธ. His research also extends to genetic engineering and sustainable agriculture, where he applies computational methods to address challenges in these fields ๐ŸŒฑ๐ŸŒพ. Dr. Kumar’s interdisciplinary approach combines computer science with practical applications in various domains ๐Ÿ“š.
Publications:ย 
  • An evolutionary Chameleon Swarm Algorithm based network for 3D medical image segmentation by Rajesh, C., Sadam, R., Kumar, S. – Expert Systems with Applications, 2024 – ๐Ÿ“ 1 citation
  • Machine Learning for Cloud-Based DDoS Attack Detection: A Comprehensive Algorithmic Evaluation by Naithani, A., Singh, S.N., Kant Singh, K., Kumar, S. – Confluence 2024, 2024 – ๐Ÿ“ 0 citations
  • An evolutionary U-shaped network for Retinal Vessel Segmentation using Binary Teachingโ€“Learning-Based Optimization by Rajesh, C., Sadam, R., Kumar, S. – Biomedical Signal Processing and Control, 2023 – ๐Ÿ“ 7 citations
  • Automatic Retinal Vessel Segmentation Using BTLBO by Rajesh, C., Kumar, S. – Lecture Notes in Networks and Systems, 2023 – ๐Ÿ“ 1 citation
  • Improved CNN Model for Breast Cancer Classification by Satya Shekar Varma, P., Kumar, S. – Lecture Notes in Networks and Systems, 2023 – ๐Ÿ“ 0 citations
  • An evolutionary block based network for medical image denoising using Differential Evolution by Rajesh, C., Kumar, S. – Applied Soft Computing, 2022 – ๐Ÿ“ 20 citations
  • Machine learning based breast cancer visualization and classification by Shekar Varma, P.S., Kumar, S., Sri Vasuki Reddy, K. – ICITIIT 2021, 2021 – ๐Ÿ“ 2 citations
  • An intelligent lung tumor diagnosis system using whale optimization algorithm and support vector machine by Vijh, S., Gaur, D., Kumar, S. – International Journal of System Assurance Engineering and Management, 2020 – ๐Ÿ“ 34 citations
  • Diet recommendation for hypertension patient on basis of nutrient using AHP and entropy by Vijh, S., Gaur, D., Kumar, S. – Confluence 2020, 2020 – ๐Ÿ“ 2 citations
  • Brain tumor segmentation using DE embedded OTSU method and neural network by Sharma, A., Kumar, S., Singh, S.N. – Multidimensional Systems and Signal Processing, 2019 – ๐Ÿ“ 29 citations

 

Pritom Jyoti Goutom | Artificial Intelligence | Best Researcher Award

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Mr Pritom Jyoti Goutom | Artificial Intelligence | Best Researcher Award

 

Research Scholar and Project Associate I at Dibrugarh University ,India

Profile:

Scopusย 

Education:

Pritom Jyoti Goutom is affiliated with the Centre for Computer Science and Applications at Dibrugarh University in Assam, India ๐Ÿ‡ฎ๐Ÿ‡ณ. His research focuses on natural language processing (NLP), particularly related to the Assamese language ๐Ÿ—ฃ๏ธ.

Some of his notable contributions include:

  1. Text Summarization ๐Ÿ“„: He has co-authored papers on text summarization techniques using deep learning, such as “An Abstractive Text Summarization Using Deep Learning in Assamese” and “Text Summarization in Assamese Language Using Sequence to Sequence RNNs”ใ€5โ€‹ (ORCID)โ€‹โ€‹ (Dibrugarh University)โ€‹2. Collaboration with Dr. Nomi Baruah ๐Ÿค: He often works with Dr. Baruah and others on projects aimed at improving NLP for low-resource languages.

For more details about his educational background and academic contributions, you can check his profile on academic platforms like ORCIDใ€5โ€‹ (ORCID)

Professional Experience:

๐ŸŽ“ Research Scholar at Dibrugarh University
Specializing in Natural Language Processing (NLP) and AI-generated text in Assamese.
๐Ÿ” Research Focus: Text summarization, part-of-speech tagging, and fake news detection.

๐Ÿ‘จโ€๐Ÿ’ป Project Associate I, Dept. of Computer Science and Engineering
Contributing to cutting-edge projects and innovations in AI and NLP.

Research ย Focusย  ย :

  • Text Summarization: Developing algorithms for concise representation of Assamese text.
  • Machine Translation: Enhancing language conversion models for Assamese.
  • Sentiment Analysis: Analyzing opinions and emotions expressed in Assamese text.
  • Named Entity Recognition (NER): Identifying and categorizing entities in Assamese text.
  • Fake News Detection: Implementing models to identify misinformation in Assamese news sources.
  • Language Modeling: Building computational models to understand and generate Assamese text.

 

Contributions :

  • Co-authored research on abstractive text summarization using deep learning approaches, focusing on the nuances of the Assamese language.
  • Investigated LSTM and BiLSTM algorithms for fake news detection, enhancing accuracy and reliability in Assamese news sources.
  • Developed attention-based transformer models for text summarization in Assamese, improving content extraction and generation.
  • Worked on automatic spelling error identification using deep learning algorithms tailored for Assamese language nuances.

Citations:

Total Citations: ๐Ÿ“ˆ 13

Total Documents:ย  ๐Ÿ“‚3

h-index: ๐ŸŒŸ 1

Publication Top Notes:

  • Goutom, P. J., Baruah, N., & Sonowal, P. (2023). An abstractive text summarization using deep learning in Assamese. International Journal of Information Technology, 15(5), 2365-2372. (6 citations)

 

  • Phukan, R., Goutom, P. J., & Baruah, N. (2024). Assamese Fake News Detection: A Comprehensive Exploration of LSTM and Bi-LSTM Techniques. Procedia Computer Science, 235, 2167-2177.

 

  • Goutom, P. J., Baruah, N., & Sonowal, P. (2024). Attention-based Transformer for Assamese Abstractive Text Summarization. Procedia Computer Science, 235, 1097-1104.

 

  • Phukan, R., Neog, M., Goutom, P. J., & Baruah, N. (2024). Automated Spelling Error Detection in Assamese Texts using Deep Learning Approaches. Procedia Computer Science, 235, 1684-1694.

 

  • Goutom, P. J., & Baruah, N. (2023). Text summarization in Assamese language using sequence to sequence RNNs. Indian Journal of Science and Technology, 16(SP2), 22-29.