Bharati Chaudhari | Edge Detection | Best Researcher Award

Published on by Computer Vision Awards

Ms . Bharati Chaudhari | Edge Detection | Best Researcher Award

Assitstant Professor at Maharashtra Institute of Technology, Chh. Sambhajinagar, India

Ms. Bharati Prakash Chaudhari is an experienced academician and researcher with over 18 years of teaching experience in computer science and engineering. Currently serving as an Assistant Professor at MIT, Aurangabad, she has consistently demonstrated a strong commitment to research and education. Her expertise spans image processing, machine learning, and digital system development, with active contributions to both academic research and industry-oriented projects. She has authored multiple research papers in international journals and conferences, including Scopus-indexed publications and IEEE proceedings. Additionally, her involvement in intellectual property development through several copyrights underscores her original contributions to technical education. Ms. Chaudhari continues to pursue her Ph.D. in Computer Science and Engineering at Dr. Babasaheb Ambedkar Marathwada University, reflecting her dedication to academic growth. Her work bridges theoretical knowledge with practical application, particularly through collaborations with industry for digital tool development. She is a proactive, skilled, and forward-looking researcher shaping the field of computer engineering.

Professional Profile 

Education🎓

Ms. Bharati Prakash Chaudhari holds a Master of Engineering degree in Computer Science and Engineering from Government College of Engineering, Aurangabad, affiliated with Dr. Babasaheb Ambedkar Marathwada University (Dr. B.A.M.U.), where she graduated in 2010 with distinction, scoring 81.25%. She earned her Bachelor of Engineering in Computer Engineering from K.K. Wagh College of Engineering, Nashik under Pune University in 2003, securing first-class marks with 62.2%. Currently, she is pursuing her Ph.D. in Computer Science and Engineering from Dr. B.A.M.U., Aurangabad. Her academic background showcases a steady progression through well-regarded institutions and reflects a continuous pursuit of advanced knowledge in her domain. Her postgraduate studies have equipped her with a solid foundation in algorithm development, computational models, and system-level design. The ongoing doctoral research further strengthens her analytical and research capabilities, positioning her to contribute meaningfully to emerging trends in machine learning and image processing.

Professional Experienceđź“ť

Ms. Bharati Prakash Chaudhari has over 18 years of professional academic experience in engineering education. She began her teaching career in February 2003 at MIT IT College, Cidco, Aurangabad, serving as a Lecturer for over three years. Since July 2006, she has been affiliated with MIT, Aurangabad, initially as a Lecturer and later redesignated as an Assistant Professor. Throughout her tenure, she has taught various core subjects in computer science and engineering and actively engaged in curriculum development and mentoring students. Her long-standing commitment to teaching is complemented by her involvement in research, project guidance, and departmental responsibilities. She has also contributed to industry-academic collaboration through participation in projects like digital tool development for transformer design, under GIZ–MASSIA initiatives. Ms. Chaudhari’s experience demonstrates not only her academic dedication but also her ability to integrate applied engineering practices into her educational approach, enhancing student learning and research culture.

Research Interest🔎

Ms. Bharati Prakash Chaudhari’s research interests center around Image Processing, Machine Learning, and Optimization Algorithms, with a keen focus on applying intelligent computing methods to solve practical problems in healthcare and security. Her recent work on edge detection using Ant Colony Optimization for medical images illustrates her interest in bio-medical image analysis. She also explores areas such as reversible data hiding, digital watermarking, and encrypted image processing—topics that are critical to data security and digital forensics. Her Ph.D. research and publications reflect an effort to integrate biologically inspired algorithms into traditional image processing techniques. Moreover, she has shown a consistent interest in enhancing data representation, pattern recognition, and system intelligence. Through hybrid algorithm development and advanced segmentation techniques, Ms. Chaudhari aims to push the boundaries of image understanding and machine learning applications, particularly in domains where accurate visual interpretation is crucial, such as diagnostics, surveillance, and automation.

Award and Honor🏆

Ms. Bharati Prakash Chaudhari has been recognized for her scholarly contributions through multiple Intellectual Property Rights (IPRs) registrations, including copyrights on algorithmic learning materials and applied computer science concepts such as Dijkstra’s Algorithm, Histogram Equalization, and Finite Automata Design. These IPRs reflect her dedication to developing high-quality, original educational content and research outputs. While formal academic awards are not explicitly listed, her achievements in publishing papers in Scopus-indexed journals and prestigious conferences like IEEE and Elsevier Procedia signify academic excellence. Her active involvement in applied research projects, such as the Digital Tool Development for Transformer Design under a government-industry partnership (GIZ-MASSIA), further underscores her practical impact. Through these achievements, she has earned peer recognition within academic and industrial circles. Her participation in international events and successful collaborations with senior researchers demonstrate her growing reputation as a capable and emerging researcher in the field of computer engineering.

Research Skill🔬

Ms. Bharati Prakash Chaudhari possesses strong research skills across multiple domains of computer science, particularly in image analysis, optimization algorithms, and machine learning models. She is proficient in applying Ant Colony Optimization, ICA (Independent Component Analysis), and encryption-based data hiding techniques for real-world problems. Her skill set includes the ability to design experimental methodologies, simulate and validate results, and interpret complex datasets for image processing tasks. She is adept at using MATLAB and other relevant software tools for developing and testing algorithms. Additionally, she is capable of translating conceptual ideas into practical implementations, as evident in her industry collaboration for transformer design automation. Her copyright registrations for algorithmic content reflect her strength in educational research and tool development. With a foundation in both academic writing and hands-on experimentation, Ms. Chaudhari’s research competencies bridge theoretical understanding and applied problem-solving—making her a valuable contributor to innovation-driven computing research.

Conclusionđź’ˇ

Ms. Bharati Prakash Chaudhari is a strong candidate for the Best Researcher Award, especially given her longevity in academia, publication record, IPRs, and participation in reputed conferences. However, to be a top-tier awardee, finalizing her Ph.D. and enhancing her presence in globally ranked journals, along with measurable citation metrics, would make her profile even more competitive.

Publications Top Noted✍

  • Title: Hepatoprotective activity of Hydroalcoholic extract of Momordica charantia Linn. leaves against Carbon tetrachloride induced Hepatopathy in Rats
    Authors: KRB, Chaudhari BP, VJ Chaware, YR Joshi
    Year: 2009
    Citations: 45

  • Title: Protective effect of the aqueous extract of Momordica charantia leaves on gentamicin induced nephrotoxicity in rats
    Authors: KRB, VJ Chaware, BP Chaudhary, MK Vaishnav
    Year: 2011
    Citations: 20

  • Title: Protective effect of the aqueous extract of Phaseolus radiatus seeds on gentamicin induced nephrotoxicity in rats
    Authors: VJ Chaware
    Year: 2012
    Citations: 16

  • Title: Quality by design (QbD) concept review in pharmaceuticals
    Authors: K Jagtap, B Chaudhari, V Redasani
    Year: 2022
    Citations: 11

  • Title: Development and validation of spectrophotometric method for simultaneous estimation of meclizine hydrochloride and pyridoxine hydrochloride in tablet dosage form
    Authors: SA Shinde, ZM Sayyed, BP Chaudhari, VJ Chaware, KR Biyani
    Year: 2016
    Citations: 10

  • Title: Development and validation of UV-spectrophotometric method for simultaneous estimation of amlodipine besylate and hydrochlorothiazide in combined dosage form
    Authors: Z Sayyed, S Shinde, V Chaware, B Chaudhari, K Biyani
    Year: 2015
    Citations: 9

  • Title: A cross-sectional prescription audit database for anti-anginal drugs with impact of essential drug list and standard treatment guidelines on prescription pattern in Nasik city
    Authors: V Chaudhari, B Chaudhari, A Khairnar
    Year: 2011
    Citations: 7

  • Title: Approaches of digital image watermarking using ICA
    Authors: BP Chaudhari, AK Gulve
    Year: 2010
    Citations: 7

  • Title: A Review on in situ Gel of Gastro Retentive Drug Delivery System
    Authors: BV Aiwale, BP Chaudhari, AB Velhal, VK Redasani
    Year: 2022
    Citations: 6

  • Title: Image segmentation using hybrid ant colony optimization: A review
    Authors: B Chaudhari, P Shetiye, A Gulve
    Year: 2021
    Citations: 6

  • Title: A Review on Diverging approaches to Fabricate Polymeric Nanoparticles
    Authors: S Deshmukh, B Chaudhari, A Velhal, V Redasani
    Year: 2022
    Citations: 5

  • Title: A Validated RP-HPLC Method for Simultaneous Estimation of Tizanidine and Nimesulide in Bulk and Pharmaceutical Formulation
    Authors: KD Bharatee Chaudhari
    Year: 2020
    Citations: 5

  • Title: Pharmacosome as a Vesicular Drug Delivery System
    Authors: RR Shinde, BP Chaudhari, AB Velhal, VK Redasani
    Year: 2022
    Citations: 4

  • Title: Influence of Newly Synthesized Superdisintegrant on Dissolution Rate Enhancement of Carbamazepine using Liquisolid Compact Technique
    Authors: GV Raut, PB Chaudhari, KV Redasani
    Year: 2022
    Citations: 4

  • Title: Development and validation of UV-spectrophotometric method for simultaneous estimation of spironolactone and hydrochlorothiazide in pharmaceutical formulation
    Authors: Z Sayyed, S Shinde, V Chaware, B Chaudhari, M Zuber, M Sayyed
    Year: 2015
    Citations: 4

  • Title: A compendious review on biodegradable polymeric nanoparticles
    Authors: S Deshmukh, B Chaudhari, A Velhal, V Redasani
    Year: 2022
    Citations: 3

  • Title: Cleaning Validation in Pharmaceutical Industry
    Authors: P Khalate, B Chaudhari, V Redasani
    Year: 2022
    Citations: 2

  • Title: A Novel Tool for Controlled Delivery: Transdermal Drug Delivery System
    Authors: AV Panval, BP Chaudhari, AB Velhal, VK Redasani
    Year: 2022
    Citations: 2

  • Title: A Review on Pharmaceutical Regulatory Authority of India, USA, UK, Australia
    Authors: AA Shinde, AS Gurav, BP Chaudhari, VK Redasani
    Year: 2024
    Citations: 1

  • Title: Review on Colon Targeted Drug Delivery System
    Authors: NB Waghmode, SV Dhanje, BP Chaudhari, VK Redasani
    Year: 2024
    Citations: 1

Liao Jun Guo | Object Detection | Best Researcher Award

Published on by Computer Vision Awards

Prof . Dr . Liao Jun Guo | Object Detection | Best Researcher Award

Teacher at Hunan University of Science and Technology, China

Prof. Dr. Jun Guo Liao is a distinguished academic and researcher serving as a Full Professor at the School of Computer Science and Engineering, Hunan University of Science and Technology, China. With a Ph.D. in Information Security earned from Huazhong University of Science and Technology in 2007, he brings over 15 years of scholarly excellence and pedagogical contribution to his field. His professional journey has been defined by a steadfast commitment to information security and the broader discipline of computer applications. Throughout his academic career, Prof. Liao has mentored numerous students, contributed to curriculum development, and engaged in research that addresses pressing issues in digital safety and technological advancement. His experience and leadership have made significant contributions to institutional growth, while his ongoing research aims to support the secure evolution of computing systems in a connected world. He continues to pursue innovative solutions to challenges in cybersecurity and digital system integration.

Professional Profile 

Education🎓

Prof. Dr. Jun Guo Liao has a strong educational background rooted in information technology and computer science. He earned his Ph.D. in Information Security from the prestigious Huazhong University of Science and Technology in 2007, one of China’s leading institutions in science and engineering. During his doctoral studies, he specialized in areas related to data protection, system vulnerabilities, cryptographic protocols, and secure computing systems. His academic training equipped him with a deep understanding of cybersecurity frameworks, cryptography, and network defense mechanisms. Prior to his doctoral studies, Prof. Liao likely completed a rigorous undergraduate and master’s education in computer science or related fields, building a solid foundation for his future research endeavors. His educational journey has not only shaped his technical expertise but also reinforced his ability to approach complex research problems with academic rigor and analytical depth. This strong academic foundation continues to underpin his success as a researcher and educator.

Professional Experienceđź“ť

Prof. Dr. Jun Guo Liao has accumulated extensive professional experience as a dedicated educator, researcher, and academic leader. He currently serves as a Full Professor at the School of Computer Science and Engineering at Hunan University of Science and Technology, where he has played a pivotal role in both teaching and research. His responsibilities span delivering advanced-level courses, supervising graduate students, and contributing to academic policy-making within the university. Since completing his Ph.D. in 2007, he has focused his career on advancing the field of information security and computer applications. Over the years, Prof. Liao has likely led funded research projects, participated in national-level research programs, and collaborated with industrial partners to translate theoretical work into practical solutions. His professional achievements reflect a sustained commitment to academic excellence, institutional development, and scientific contribution. His role as a faculty leader highlights his ability to foster research innovation and academic integrity.

Research Interest🔎

Prof. Dr. Jun Guo Liao’s research interests center on information security and computer applications, two domains of critical importance in the digital age. His work explores the development of secure computing environments, the design of cryptographic algorithms, and the protection of data across networks and systems. He is particularly interested in safeguarding sensitive information against cyber threats, improving authentication systems, and fortifying infrastructure against unauthorized access. Additionally, Prof. Liao’s interests likely extend into applied computer science areas such as secure software development, cloud computing security, and artificial intelligence in cybersecurity. His research strives to bridge theoretical computer science with practical applications, offering real-world solutions to modern digital challenges. Through his work, Prof. Liao contributes to building resilient and trustworthy computing environments. His interest in interdisciplinary collaboration enables him to address complex problems that intersect with data privacy, digital ethics, and secure communications, making his research highly impactful and timely.

Award and Honor🏆

While specific awards and honors were not listed in the available curriculum vitae, it is likely that Prof. Dr. Jun Guo Liao has received recognition at various institutional, regional, or national levels for his academic and research achievements. As a Full Professor with a Ph.D. in Information Security and a sustained academic career, he may have been honored with outstanding teaching awards, research excellence awards, or government-funded research grants. His contributions to the advancement of cybersecurity and academic mentorship position him as a valuable figure in the academic community, potentially earning him roles in review panels, conference committees, or research consortiums. Furthermore, his long-standing affiliation with Hunan University of Science and Technology suggests consistent internal recognition for academic leadership and service. Additional details on his recognitions would further affirm his suitability for prestigious awards such as the Best Researcher Award, reflecting his excellence and dedication in his field.

Research Skill🔬

Prof. Dr. Jun Guo Liao possesses advanced research skills in the domains of information security and computer applications, which encompass both theoretical and applied methodologies. His expertise includes cryptographic system design, vulnerability assessment, secure communication protocols, and data protection strategies. He demonstrates strong analytical thinking, problem-solving abilities, and a keen understanding of algorithmic implementation for secure systems. Over the years, he has likely developed skills in research project management, academic writing, peer reviewing, and mentoring graduate students. Additionally, his technical skill set may include programming, network analysis, penetration testing, and proficiency in tools related to cybersecurity. Prof. Liao is also adept at conducting literature reviews, designing experimental models, and evaluating system security in real-world applications. These research competencies enable him to contribute meaningfully to the academic discourse on digital safety while promoting innovation in technology. His continuous development of research skills supports his contributions to scholarly excellence and institutional impact.

Conclusionđź’ˇ

Based on the limited available information, Prof. Dr. Jun Guo Liao appears to be a strong academic with expertise in information security, making him potentially eligible for the Best Researcher Award. However, to confidently support his nomination, it is highly recommended to provide:

  • A complete list of publications and citation metrics

  • Details of research projects, funding, and impactful contributions

  • Any national/international recognitions or awards

  • Evidence of research leadership and community involvement

Publications Top Noted✍

  • Title: MBB-YOLO: A comprehensively improved lightweight algorithm for crowded object detection
    Year: 2024
  • Title: A multikey fully homomorphic encryption privacy protection protocol based on blockchain for edge computing system
    Year: 2023
    Citations: 5
  • Title: DTSAC: Smart Contract-based Access Control with Delegation and Trust Management
  • Title: An adaptive traffic sign recognition scheme based on deep learning in complex environment