Mr. NianWang | Machine Learning | Best Researcher Award

Posted on by sciencefather

Mr. NianWang | Machine Learning | Best Researcher Award ๐Ÿ†

Xiโ€™an Research Institute of High-tech, Xi ‘an, Shaanxi, China๐ŸŽ“

Nian Wang is a dedicated PhD candidate at the Xiโ€™an Research Institute of High-tech in Xiโ€™an, China. Specializing in machine learning and deep learning applications, Nian has established himself as a promising researcher, with extensive experience as a journal reviewer for prominent IEEE publications.

 

Professional Profileย 

  • google scholar

Education ๐ŸŽ“:

Nian Wang is currently pursuing a PhD at the Xiโ€™an Research Institute of High-tech, specializing in advanced machine learning techniques.

Work Experience ๐Ÿ’ผ:

As a PhD candidate, Nian is actively engaged in cutting-edge research and has gained valuable experience through serving as a reviewer for prominent journals such as IEEE Transactions on Image Processing and Pattern Recognition.

 

Skills ๐Ÿ”:

Nian possesses expertise in deep learning, data clustering, image enhancement, and object recognition. His skills in developing innovative solutions for complex image processing problems have been demonstrated through his research contributions.

Awards and Honors ๐Ÿ†:

In 2022, Nian received the Excellent Doctoral Dissertation award from the China Ordnance Industry Society, recognizing his significant academic contributions.

Memberships ๐Ÿค:

Currently, Nian holds no formal memberships in professional organizations, focusing primarily on his research and academic contributions.

Teaching Experience ๐Ÿ‘ฉโ€๐Ÿซ:

While there are no formal teaching roles mentioned, his involvement in research and peer review indicates a strong understanding of academic concepts, which can translate into potential future teaching opportunities.

Research Focus ๐Ÿ”ฌ:

Nianโ€™s research is centered on machine learning applications, particularly in data clustering, image dehazing, and UAV object tracking. His innovative work includes developing the Capsule Attention Network (CAN) for hyperspectral image classification, showcasing improved performance and reduced computational burden compared to existing methods.

Conclusionย 

In conclusion, Nian Wang is a highly suitable candidate for the Best Researcher Award due to his innovative contributions, recognized expertise, and commitment to advancing research in machine learning. His achievements speak volumes about his potential for future advancements in the field. By addressing areas for improvement, Nian can enhance his profile further, positioning himself as a leader in research and innovation. Awarding him this honor would not only recognize his past accomplishments but also encourage his continued contributions to the scientific community.

๐Ÿ“š Publilcationย 

 

Dr.Pouya Farshbaf Aghajani | Artificial Intelligence | Best Scholar Award

Posted on by sciencefather

Dr.Pouya Farshbaf Aghajani | Artificial Intelligence | Best Scholar Awardย  ๐Ÿ†

Master of Science atย University of Tehran,ย Iran๐ŸŽ“

Pouya Farshbaf Aghajani is a Food Engineer specializing in food science, sustainable resource extraction, and innovative food safety technologies. He completed his Masterโ€™s in Food Engineering from the University of Tehran with the highest GPA in his class and holds a Bachelorโ€™s degree in Biosystem Engineering from the University of Tabriz. Pouya has contributed to numerous research publications in food technology and advanced ultrasound applications, emphasizing resource efficiency and quality improvement.

Professional Profileย 

๐ŸŽ“ Education

  • Master of Science in Food Engineering (Food Science and Chemistry) โ€“ University of Tehran (2020โ€“2023)
    Ranked 1st, GPA: 3.54/4
    Thesis on ultrasound-assisted cultivation of Chlorella vulgaris for sustainable oil extraction.
  • Bachelor of Science in Biosystem Engineering (Food Engineering) โ€“ University of Tabriz (2016โ€“2020)
    Ranked 4th in GPA

๐Ÿข Work Experience

  • Scientific Research Association, University of Tehran โ€“ Teacher, offering training in international publications, software applications, and biomechanics.
  • ISI Journal Reviewer โ€“ Certified reviewer for journals like Food Chemistry, providing expert evaluations.
  • Assistant Editor-in-Chief โ€“ Frontiers in Food, Drug, and Natural Sciences, overseeing technical content.

๐Ÿงฌ Skills

  • Technical Skills: Proficient in SOLIDWORKS, SPSS, Python, MATLAB, and laboratory tools like GC, HPLC, SEM, and freeze dryers.
  • Soft Skills: Effective in teaching, team collaboration, time management, and problem-solving.

Awards and Honors ๐Ÿ†

  • Ranked 1st among masterโ€™s students, University of Tehran (2021)
  • National graduate full scholarship, University of Tehran (2020)
  • Ranked in the top 10% among undergraduate students, University of Tabriz (2019)

๐Ÿ“š Teaching Experience

Instructor at the University of Tehranโ€™s Scientific Research Association, teaching scientific writing, biomechanics applications, and English (IELTS-focused).

๐Ÿ”ฌ Research Focus

Pouyaโ€™s research centers on energy conservation, food safety, ultrasound technology, and artificial intelligence applications in food engineering. His work includes sustainable oil extraction, algae research, and quality assessment techniques aimed at improving food safety and processing efficiency.

Conclusionย 

Pouya Farshbaf Aghajani is a strong candidate for the Best Scholar Award due to his academic excellence, impactful research, and dedication to advancing sustainable food engineering. With a demonstrated ability to innovate and lead, coupled with a commitment to teaching and mentorship, Pouya exemplifies the qualities of an outstanding scholar. Addressing areas for further growth, such as gaining international experience and expanding funding acquisition skills, would further solidify his scholarly influence. Nonetheless, his current achievements and strengths make him an excellent candidate for this prestigious award

๐Ÿ“š Publilcationย 

  • “The Improvement of Freezing Time and Functional Quality of Frozen Mushrooms by Application of Probe-Type Power Ultrasound”
    • Year: 2023
    • Journal: Ultrasonics Sonochemistry
  • “Dual-Stage Ultrasound in Deep Frying of Potato Chips; Effects on the Oil Absorption and the Quality of Fried Chips”
    • Year: 2024
    • Journal: Ultrasonics Sonochemistry
  • “Revolutionizing Mushroom Identification: Improving Efficiency with Ultrasound-Assisted Frozen Sample Analysis and Deep Learning Techniques”
    • Year: 2024
    • Journal: Journal of Agriculture and Food Research
  • “Innovative Modifications to Zarrouk Medium for Enhanced Cultivation of Spirulina (Arthrospira Platensis)”
    • Year: 2024
    • Journal: Available at SSRN

Ali Hussein Abdulwahhab | Artificial Intelligence | Best Researcher Award

Posted on by sciencefather

Ali Hussein Abdulwahhab | Artificial Intelligence | Best Researcher Award

Dotorate student atย  Altinbas university, Turkey

Ali Hussein Abdulwahhab is a highly motivated and detail-oriented researcher specializing in Electrical, Electronic, and Computer Engineering, with a strong focus on machine learning and deep learning technologies. His research spans various domains, including medical image analysis, brain signal processing, and Brain-Computer Interface (BCI) systems. With numerous published research papers and expertise across diverse data modalities such as histopathology, PET-CT, and EEG data, Ali is dedicated to advancing technology for practical applications in healthcare and communication systems.

 

Professional Profileย 

๐ŸŽ“ Education

Ali completed his Bachelor’s degree in Electrical Engineering from Mustansiriyah University in Baghdad, Iraq, from 2012 to 2016. He then pursued a Masterโ€™s degree in Electrical-Electronics Engineering at Istanbul Gelisim University in Turkey, graduating in 2021. Currently, he is enrolled in a Doctorate program in Electrical-Computer Engineering at Altinbas University in Istanbul, where he is furthering his research in advanced engineering techniques and applications.

๐Ÿข Work Experience

With a solid background in research and practical applications, Ali has contributed significantly to projects involving deep learning techniques for medical imaging and signal processing. His professional experience includes developing BCI systems for controlling drones based on human concentration and eye-blinking, as well as conducting projects aimed at detecting driver fatigue states through EEG signal analysis. He has also been involved in various academic and conference presentations, showcasing his commitment to sharing knowledge in his field.

๐Ÿงฌ Skills

Ali possesses a diverse skill set that includes expertise in research methodology, scientific writing, deep learning, machine learning, image processing, and brain signal processing. His technical proficiencies in Python and various data analysis tools enhance his ability to conduct rigorous research. Additionally, his organizational and time management skills, coupled with effective communication and teamwork abilities, make him a valuable asset in collaborative research environments.

Awards and Honors ๐Ÿ†

Ali has received multiple certifications and honors throughout his academic career, including a Certificate of Excellence in Reviewing from the Journal of Advances in Biology & Biotechnology and a Certificate of Excellence in Peer-Reviewing from BP International. These accolades recognize his contributions to the academic community and his commitment to maintaining high research standards.

Membership ๐Ÿค

He is an active member of various professional organizations related to electrical engineering and computer science. His memberships facilitate networking opportunities and collaboration with fellow researchers, enhancing his professional development and contribution to the field.

Teaching Experience ๐Ÿ“š

Ali has gained teaching experience during his academic journey, where he has engaged in instructing students on topics related to electrical engineering and advanced computational techniques. His role as a teaching assistant has allowed him to mentor students and share his knowledge, contributing to the development of the next generation of engineers.

๐Ÿ”ฌ Research Focus

Ali’s primary research focus lies in the application of deep learning and machine learning techniques in medical imaging, brain signal processing, and the development of innovative BCI systems. He aims to enhance the accuracy and efficiency of medical diagnoses through advanced imaging techniques and contribute to the evolution of communication systems by improving brain-computer interactions. His ongoing research seeks to address critical challenges in healthcare and technology through cutting-edge methodologies.

๐Ÿ“š Publicationย 

  • Title: Analysis of potential 5G transmission methods concerning Bit Error Rate
    Authors: Abdulwahhab Mohammed, A., Abdulwahhab, A.H.
    Year: 2024
    Citation: AEU – International Journal of Electronics and Communications, 184, 155407.
  • Title: Detection of epileptic seizure using EEG signals analysis based on deep learning techniques
    Authors: Abdulwahhab, A.H., Abdulaal, A.H., Thary Al-Ghrairi, A.H., Mohammed, A.A., Valizadeh, M.
    Year: 2024
    Citation: Chaos, Solitons and Fractals, 181, 114700.
  • Title: A Review on Medical Image Applications Based on Deep Learning Techniques
    Authors: Abdulwahhab, A.H., Mahmood, N.T., Mohammed, A.A., Myderrizi, I., Al-Jumaili, M.H.
    Year: 2024
    Citation: Journal of Image and Graphics, 12(3), pp. 215โ€“227.
  • Title: Drone Movement Control by Electroencephalography Signals Based on BCI System
    Authors: Abdulwahhab, A.H., Myderrizi, I., Mahmood, M.K.
    Year: 2022
    Citation: Advances in Electrical and Electronic Engineering, 20(2), pp. 216โ€“224.

Yaser Azimi | Artificial Intelligence | Best Researcher Award

Posted on by sciencefather

Yaser Azimi | Artificial Intelligence | Best Researcher Award

Assistant Professor atย  Urmia University, Iranย 

Yaser Azimi is a distinguished professional in the field of [specific field or industry], recognized for his contributions to [specific contributions or notable projects]. With a robust academic background and extensive experience, he has made significant strides in [relevant aspects of his work]. His dedication to advancing knowledge and practice in his field makes him a respected figure among peers and students alike.

 

Professional Profileย 

๐ŸŽ“ Education

Yaser Azimi holds a [degree] in [field of study] from [University Name], where he graduated with [honors or notable achievements]. He furthered his education by obtaining a [higher degree] in [specialization] from [another University Name], focusing on [specific area of study]. His educational background has provided him with a solid foundation in [relevant skills or knowledge areas], which he applies in his professional endeavors.

๐Ÿข Work Experience

With over [number] years of experience in [specific industry or field], Yaser has held various positions that have honed his skills and expertise. He began his career as a [first job title] at [Company/Organization Name], where he [briefly describe responsibilities and achievements]. Over the years, he has progressed to roles such as [list subsequent job titles and companies], contributing to projects that [describe notable projects or initiatives]. His diverse experience equips him to handle complex challenges in his field effectively.

๐Ÿงฌ Skills

Yaser possesses a wide array of skills that contribute to his success as a [profession]. His expertise includes [list relevant skills, e.g., data analysis, project management, research methodologies, etc.]. Additionally, he is proficient in [specific software, tools, or techniques], which enhances his capability to deliver high-quality work. His strong communication and leadership skills enable him to collaborate effectively with colleagues and guide teams toward achieving common goals.

Awards and Honors ๐Ÿ†

Throughout his career, Yaser has been recognized with several awards and honors for his outstanding contributions. Notable accolades include [list specific awards, recognitions, or honors received], highlighting his commitment to excellence and innovation in his field. These recognitions reflect his dedication to advancing [specific aspects of his profession] and his impact on the community.

Membership ๐Ÿค

Yaser is an active member of several professional organizations, including [list relevant organizations or associations]. His involvement in these memberships allows him to stay updated on industry trends, network with fellow professionals, and contribute to the advancement of [specific field or profession]. His commitment to professional development is evident through his participation in [mention any committees, boards, or special initiatives].

Teaching Experience ๐Ÿ“š

In addition to his professional work, Yaser has a passion for education and has served as a [teaching position, e.g., lecturer, professor] at [institution or organization]. His teaching experience includes courses on [specific subjects or topics], where he inspires students to explore [relevant concepts or areas]. He is known for his engaging teaching style and commitment to fostering a supportive learning environment.

๐Ÿ”ฌ Research Focus

Yaser’s research focuses on [specific areas of research or interest], aiming to [describe the goals or objectives of his research]. He has published numerous papers in esteemed journals and has presented his work at various conferences, contributing to the body of knowledge in [relevant field]. His research not only advances theoretical understanding but also has practical implications for [mention specific applications or industries].

๐Ÿ“š Publicationย 

  • Title: Mobility aware and energy-efficient federated deep reinforcement learning assisted resource allocation for 5G-RAN slicing
    Authors: Yaser Azimi, S. Yousefi, H. Kalbkhani, T. Kunz
    Year: 2024
    Citations: 0
  • Title: Applications of Machine Learning in Resource Management for RAN-Slicing in 5G and beyond Networks: A Survey
    Authors: Yaser Azimi, S. Yousefi, H. Kalbkhani, T. Kunz
    Year: 2022
    Citations: 23
  • Title: Energy-Efficient Deep Reinforcement Learning Assisted Resource Allocation for 5G-RAN Slicing
    Authors: Yaser Azimi, S. Yousefi, H. Kalbkhani, T. Kunz
    Year: 2022
    Citations: 37
  • Title: Improvement of minimum disclosure approach to authentication and privacy in RFID systems
    Authors: M.H.F. Kordlar, Yaser Azimi
    Year: 2015
    Citations: 0
  • Title: Improvement of quadratic residues based scheme for authentication and privacy in mobile RFID
    Authors: Yaser Azimi, J. Bagherzadeh
    Year: 2015
    Citations: 3

JiaLi Zhu | Artificial Intelligence | Best Researcher Award

Posted on by sciencefather

Ms JiaLi Zhu | Artificial Intelligence | Best Researcher Award ๐Ÿ†

Research Fellow at University of Naples Federico II , Italy๐ŸŽ“

Jiali Zhu is a Senior Algorithm Engineer at Alipay, Ant Group with expertise in machine learning and deep learning. She holds a Masterโ€™s degree in Computer Technology from Southeast University, completed in June 2023 . Since July 2023, Jiali has worked as a Machine Learning Algorithm Engineer at Ant Groupโ€™s Alipay, focusing on cutting-edge algorithm development .

Professional Profile

Education๐ŸŽ“

Jiali Zhu earned a Master’s degree in Computer Technology from Southeast University in June 2023. Her academic journey reflects a strong foundation in advanced computing and algorithm design.

๐Ÿ’ผWork Experience

In July 2023, she embarked on her professional career as a Machine Learning Algorithm Engineer at Ant Group’s Alipay. She now holds the title of Senior Algorithm Engineer, where she works on innovative projects in machine learning and AI applications.

ย ๐Ÿ› ๏ธSkills

Jiali is skilled in machine learning, deep learning, medical imaging technologies, and multimodal language models. Her expertise spans advanced algorithm design, attention mechanisms, and quantitative susceptibility mapping.

๐Ÿ†Awards and Honors

She is a nominee for the “Best Researcher Award,” acknowledging her significant contributions in the field of machine learning and medical imaging.

ย Research Focus ๐Ÿ”ฌ

Jialiโ€™s research focuses on integrating deep learning with medical imaging. She has contributed to projects like MobileFlow, a multimodal LLM for mobile GUI agents, and DE-Net, a detail-enhanced MR reconstruction network.

 

๐Ÿ“–Publications :ย 

  • DE-Net: Detail-enhanced MR reconstruction network via global-local dependent attention
    ๐Ÿ“… Year: 2024
    ๐Ÿ“– Journal: Biomedical Signal Processing and Control
    ๐Ÿง  Authors: J. Zhu, D. Hu, W. Mao, J. Zhu, R. Hu, Y. Chen
  • MobileFlow: A Multimodal LLM For Mobile GUI Agent
    ๐Ÿ“… Year: 2024
    ๐Ÿ“– Journal: arXiv preprint (arXiv:2407.04346)
    ๐Ÿง  Authors: S. Nong, J. Zhu, R. Wu, J. Jin, S. Shan, X. Huang, W. Xu
  • Edge prior guided dictionary learning for quantitative susceptibility mapping reconstruction
    ๐Ÿ“… Year: 2022
    ๐Ÿ“– Journal: Quantitative Imaging in Medicine and Surgery
    ๐Ÿง  Authors: J. Du, Y. Ji, J. Zhu, X. Mai, J. Zou, Y. Chen, N. Gu

 

Pritha N | Deep learning | Best Researcher Award

Posted on by sciencefather

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 

 

Arti Jha | Artificial Intelligence | Best Researcher Award

Posted on by sciencefather

Ms Arti Jha |ย ย Artificial Intelligence |ย ย Best Researcher Awardย 

 

Senior Research Fellow atย Birla Institute of Technology and Science, Pilani,ย India

 

๐Ÿ“š ๐Ÿ‘ฉโ€๐Ÿ’ป Arti Jha is a Senior Research Fellow at BITS Pilani, specializing in machine learning, natural language processing, statistics, game theory, and deep learning. Currently pursuing a PhD in Web Intelligence and Social Computing, she focuses on AI-enabled design of optimal advertisement campaign strategies in collaboration with CommerceIQ, Bangalore. With industry experience at CommerceIQ, she develops predictive models for e-commerce platforms. Arti holds a BTech-MTech dual degree from the Centre for Converging Technologies, University of Rajasthan. Her research spans object detection, machine learning, and teaching roles as a TA at BITS Pilani.

Professional Profile:

 

Education ๐ŸŽ“

PhD Candidate in Web Intelligence and Social Computing, BITS Pilani, Pilani, India, Feb 2022 – Present.

BTech-MTech Dual Degree, Centre for Converging Technologies, University of Rajasthan, Aug 2015 – Jul 2020. Cumulative GPA: 3.8/4.00.

Research Focus ๐Ÿ”ฌ

Arti Jha’s research focuses on several key areas in the realm of artificial intelligence and data science. She specializes in machine learning ๐Ÿค–, natural language processing ๐Ÿ“œ, statistics ๐Ÿ“Š, game theory ๐ŸŽฒ, and deep learning ๐Ÿง . Her work spans from optimizing e-commerce advertising campaigns using advanced machine learning techniques to developing reinforcement learning strategies for real-time bidding in digital marketing. With a strong foundation in both theoretical research and practical applications, Arti contributes actively to the fields of AI-enabled advertisement strategies, predictive modeling, and algorithmic optimizations aimed at enhancing business intelligence and decision-making processes in digital platforms.

Professional Experience ๐Ÿ’ผ

  • Senior Research Fellow, BITS-CommerceIQ Collaboration Project, BITS Pilani, Pilani, India, Feb 2022 – Present.
  • Designing optimal and targeted ad campaign strategies on e-commerce platforms.
  • Developing prediction models for optimizing ad campaigns on Amazon.
  • Working on interpretable and explainable AI models.
  • Industry Experience at CommerceIQ, Bangalore, India.

Research Experience ๐Ÿ“Š

  • Research Scholar, BITS Pilani, Pilani, India, Feb 2022 – Present.
  • Building algorithmic campaign optimizers.
  • Implementing multi-stage campaign classification and clustering models.
  • Designing explainable models for risk-averse modeling.
  • Project Trainee, Indian Space Research Organisation (ISRO), RRSC Jodhpur, India, Aug 2019 – Apr 2020.
  • Thesis on Object Detection using Satellite Images.
  • Data Analysis Intern, Robotics And Machine Analytics Lab (RAMAN), MNIT Jaipur, India, Mar 2019 – May 2019.
  • Developed a Movie Recommendation System.

Academic Experience ๐Ÿ“š

  • Teaching Assistant, BITS Pilani, Pilani, India.
  • C Programming (Feb 2022 – Dec 2023).
  • Data Warehousing (Jan 2024 – Present).

Publications:ย 

 

Pritom Jyoti Goutom | Artificial Intelligence | Best Researcher Award

Posted on by sciencefather

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.