Waris Ali | Computer Science | Best Researcher Award

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Mr Waris Ali | Computer Science | Best Researcher Award

Student, Beijing University of Technology, China

Waris Ali is a PhD scholar in the Department of Information Technology at Beijing University of Technology, China. With extensive academic and professional experience in Computer Science, he has worked as a lecturer at multiple institutions in Pakistan, including The Islamia University of Bahawalpur, Superior Group of Colleges, and Govt. Degree College. Throughout his career, Waris has demonstrated strong interpersonal skills and cultural competence, which have helped him foster a collaborative learning environment. His work focuses on advanced technologies like distributed systems, IoT, and artificial intelligence, with a particular emphasis on content delivery networks (CDNs) and multi-CDN deployment. Waris is committed to pushing the boundaries of technology through his research, contributing valuable insights to both academia and industry.

PROFESSIONAL PROFILE

Google Scholar

EDUCATION

Waris Ali is currently pursuing a PhD in Computer Science (2022-2026) at Beijing University of Technology, China. He completed his M.Phil. in Computer Science in 2020 from The Islamia University of Bahawalpur, where he achieved an impressive CGPA of 3.74/4.0. He also holds a Bachelor of Science in Information Technology (2013-2017) from the same institution, graduating with a CGPA of 3.889/4.0. Waris completed his intermediate studies in Science (FSc Pre-Engineering) in 2013, securing 730/1100 marks from the Board of Intermediate and Secondary Education. His academic journey reflects a strong foundation in computer science and information technology, positioning him for success in his current research.

EXPERIENCE

Waris Ali has garnered substantial experience as a lecturer in Computer Science at various prestigious institutions, including The Islamia University of Bahawalpur, Superior Group of Colleges, and Govt. Degree College, Yazman. He has also worked as a web developer at Digicon Computer Center, Bahawalpur. His teaching experience spans from 2017 to 2022, during which he has consistently demonstrated excellent communication and interpersonal skills. Waris has built strong relationships with both students and faculty, creating a supportive educational environment. His ability to collaborate with students from diverse backgrounds has enriched the learning experience, especially in international settings. This experience complements his academic research and professional growth.

AWARDS AND HONORS

Waris Ali’s dedication to research and academic excellence has earned him recognition in his field. He received accolades for his contribution to the study of content delivery networks in Pakistan. His work, “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan,” was published in the Pakistan Journal of Engineering and Technology. Additionally, Waris presented at notable conferences such as the 4th Asia Pacific International Conference on Emerging Engineering (APICEE), where he discussed multi-CDN deployment. He has also participated in the 2nd International Computer Science Conference, showcasing his ongoing commitment to advancing the field of Computer Science.

RESEARCH FOCUS

Waris Ali’s research interests lie in distributed systems, reliable networks, content delivery networks (CDNs), IoT applications, artificial intelligence, and data science. His work aims to analyze and improve the performance and deployment of multi-CDNs, with a focus on their application in Pakistan. His research contributes valuable insights into optimizing the efficiency of these networks, as well as exploring the potential of emerging technologies in real-world applications. With his current research as a PhD candidate at Beijing University of Technology, Waris is working to expand the boundaries of knowledge in these cutting-edge fields.

PUBLICATION TOP NOTES

  • “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan” — Pakistan Journal of Engineering and Technology đź“–
  • “Analyzing the Deployment and Performance of Multi-CDNs in Pakistan” — 4th Asia Pacific International Conference on Emerging Engineering (APICEE), 2021 đź“š
  • “The 2nd International Computer Science Conference” — International Conference on Intelligent Technologies & Applications (INTAP), 2019 đź’»

CONCLUSION

Waris Ali is a promising researcher and academic in the field of Computer Science, dedicated to advancing the understanding and application of emerging technologies. With a solid educational background and diverse professional experience, he continues to contribute valuable research on content delivery networks, artificial intelligence, and IoT applications. His commitment to excellence in both teaching and research underscores his role as an influential figure in the global tech community.

Patrick Chernjavsky | Additive Manufacturing | Best Researcher Award

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Mr Patrick Chernjavsky | Additive Manufacturing | Best Researcher Award

Research Assistant, Worcester Polytechnic Institute, United States

Patrick Chernjavsky is a Ph.D. candidate in Mechanical & Materials Engineering at Worcester Polytechnic Institute (WPI), specializing in advanced manufacturing, design for manufacturing, and surface metrology. His research focuses on material characterization, corrosion control, and optimizing manufacturing processes for enhanced performance and durability. With extensive experience in metallurgical engineering, additive manufacturing, and tribology, Patrick has contributed significantly to industry and academia through innovative projects and research publications. His work in material removal rate analysis, flexible spindle polishing, and vibration control has been recognized in leading journals. Patrick has also interned at Saint-Gobain, Liquid Piston, and NAWCAD, where he developed advanced coatings, automated analysis tools, and thermo-mechanical models. His contributions to aerospace, medical devices, and energy systems showcase his interdisciplinary expertise. Patrick continues to advance precision manufacturing technologies through research, experimentation, and industry collaborations.

PROFESSIONAL PROFILE

Google Scholar

STRENGTHS FOR THE AWARD

âś… Diverse Research Portfolio: Patrick Chernjavsky has an extensive research background spanning Advanced Manufacturing, Surface Polishing, and Additive Manufacturing, making significant contributions to both industry and academia.
âś… High-Impact Publications: His work is published in reputable journals and conferences, covering grinding processes, HydroFlex polishing, vibration control, and tribological coatings, demonstrating strong experimental and analytical expertise.
âś… Industrial and Government Research Experience: His internships at Liquid Piston, Saint-Gobain, and NAWCAD highlight his ability to bridge academic research with real-world engineering applications, including materials selection, coatings, and mechanical performance testing.
âś… Innovation and Problem-Solving: Contributions to corrosion control, wear resistance, and material removal rate optimization show a strong problem-solving ability in high-performance materials and surface metrology.
âś… Recognition and Security Clearance: His scholarship award for developing an automated vibration analysis tool for aircraft components and SECRET-level security clearance underline his trustworthiness and excellence in classified research.

AREAS FOR IMPROVEMENTS

🔹 Higher Citation Impact: While his research is well-regarded, increasing citations and extending collaborations in emerging materials science and sustainable manufacturing could strengthen his influence.
🔹 Broader Research Leadership: Leading more interdisciplinary projects or securing external funding for research grants could further solidify his standing as a top researcher.
🔹 Industry-Academia Partnerships: Expanding on industry collaborations for real-world applications, particularly in robotic surface finishing and aerospace materials, could enhance research applicability.

EDUCATION 🎓

Patrick Chernjavsky is pursuing a Doctor of Philosophy in Mechanical & Materials Engineering at Worcester Polytechnic Institute (WPI), Worcester, Massachusetts, with an expected completion in May 2025. His research areas include advanced manufacturing, surface metrology, design for manufacturing, and corrosion control. Patrick has also developed expertise in experimental techniques such as non-destructive CT, profilometry, XRD, SEM, and wear testing. Prior to WPI, he actively participated in engineering projects, including drone design and hydropower device development. His academic journey is complemented by certifications such as Engineering Simulation with ANSYS (2024), reinforcing his proficiency in simulation tools. His educational background has laid a strong foundation for his research contributions to material characterization, tribology, and manufacturing processes.

EXPERIENCE 🏭

Patrick Chernjavsky has gained diverse industrial and research experience through multiple internships and assistantships. As a Metallurgical Engineering Intern at Liquid Piston (December 2024 – March 2025), he worked on advanced coating tribopairs and surface crosshatch designs for rotary engine seals. At Saint-Gobain (May 2021 – August 2021), he collaborated on thermo-mechanical modeling of grinding processes and conducted validation testing. During his tenure at NAWCAD (June 2019 – February 2021), he developed an automated vibration analysis tool for aircraft component testing, earning a scholarship award. Additionally, as a Research Assistant at WPI, he has contributed to various projects in additive manufacturing, polishing, and tribology. His experience spans material characterization, design for manufacturing, and aerospace engineering, bridging the gap between theoretical research and practical applications.

AWARDS & HONORS 🏆

Patrick Chernjavsky has been recognized for his contributions to mechanical engineering and research innovation. He received a scholarship award for developing an automated vibration analysis tool at NAWCAD, demonstrating excellence in aerospace engineering. His work in tribology and material characterization has been featured in leading manufacturing and medical device conferences. Additionally, his research contributions in polishing techniques, material removal rate analysis, and corrosion control have been cited in esteemed journals. Patrick’s interdisciplinary expertise in additive manufacturing, advanced coatings, and precision engineering continues to earn accolades in academic and industrial circles. His commitment to innovation and research excellence underscores his dedication to advancing mechanical and materials engineering.

RESEARCH FOCUS 🔬

Patrick Chernjavsky’s research focuses on advanced manufacturing, tribology, and precision surface finishing. His work explores material removal dynamics, flexible spindle polishing, and vibration control for industrial applications. He investigates innovative coating techniques for wear resistance and friction reduction, optimizing material properties for aerospace and medical applications. His studies in hydrodynamic flexible spindle (HydroFlex) polishing have led to advancements in internal surface finishing for high-aspect-ratio channels. Patrick also explores experimental techniques such as SEM, XRD, and profilometry to assess surface integrity. His interdisciplinary approach combines experimental analysis, computational modeling, and real-world validation, contributing to high-performance manufacturing and material durability.

PUBLICATION TOP NOTES đź“„

  • Experimental Investigation of the Material Removal Rate in Grinding of Calcified Plaque by Rotational Atherectomy
  • Hydrodynamic Flexible Spindle (HydroFlex) Polishing for Internal Surfaces of Complex Channels with High Aspect Ratio
  • Experimental Investigation of the Calcified Plaque Material Removal Rate in Coronary Rotational Atherectomy
  • Vibration Control Coupler Design for Robot Learning From Human Polishing
  • Grit Size Effect on HydroFlex Polishing Dynamics and Performance
  • Hydrodynamic Flexible Spindle (HydroFlex) Polishing of Turbine Blade Internal Cooling Channels for Oxide Removal
  • Creation of a Fish-Friendly Aquatic Hydropower Device Using an Oscillating Hydrofoil
  • Creation and Distribution of Monetized Online Content for Old Sturbridge Village’s Virtual Village
  • Monroe Community College Drone Design Team

CONCLUSION

Patrick Chernjavsky is a strong candidate for the Best Researcher Award due to his expertise in advanced manufacturing, tribology, and surface metrology, combined with notable industrial experience and impactful publications. With further research leadership and industry partnerships, he has the potential to be a leading figure in the field of materials science and engineering. 🚀

Vedika Vishawas Avhad – Engineering & Technology – Best Researcher Award

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Vedika Vishawas Avhad - Engineering & Technology - Best Researcher Award

VPPCOE&VA - India

AUTHOR PROFILE

GOOGLE SCHOLAR

ACADEMIC BACKGROUND

Mrs. Vedika Vishawas Avhad is an accomplished academic in the field of Computer Engineering. She is currently pursuing her PhD at Pillai HOC in Panvel and has completed her M.E. in Computer Engineering from YTIET, Karjat in 2019 with a CGPA of 7.77. Her undergraduate studies culminated in a B.E. in Computer Engineering from D.Y. Patil, Pune in 2014, where she achieved 61.80%. Additionally, she holds a Diploma in Computer Engineering from K.K. Wagh Polytechnic, Nashik, completed in 2010 with a commendable score of 72.90%.

PROFESSIONAL EXPERIENCE

Mrs. Avhad's professional journey includes roles as an Assistant Professor at Vasantdada Patil Pratishthan’s College of Engineering & Visual Arts in Sion since July 2019. She has also served as a Lecturer at Shivajirao S. Jondhale Polytechnic, Dombivli from June 2016 to March 2018, and as an Assistant Professor at B R Harne College of Engineering, Vangni from January 2016 to May 2016. Her teaching experience is complemented by her roles as a department-level Exam Coordinator, BE & TE student Project Guide, and various coordination responsibilities in academic events and processes.

RESEARCH INTERESTS AND OBJECTIVES

Her research interests focus on innovative applications of computer engineering in health and forensic sciences. She is currently engaged in research projects such as "Iridology-based Early Stage Predictions of Human Health Conditions using Computer Vision and Deep Learning" and "Searching and Detecting Forged Multimedia Data in Forensic Investigation." These projects aim to develop precise patterns of iris for health predictions and efficient detection methods for multimedia forensics, respectively.

PUBLICATIONS

Mrs. Avhad has contributed significantly to academic literature with publications in various reputed journals. Notable works include articles on topics such as Smart EVMs for reducing frauds based on biometric identification, efficient Cibpre schemes with provable security, multimedia data forensics, jamming-aware traffic allocation, plant health monitoring systems, customer churn prediction, heart disease prediction, age and gender prediction, and obstacle detection for the visually impaired.

PROFESSIONAL DEVELOPMENT

She has actively participated in numerous faculty development programs, workshops, and trainings. Some of these include AICTE-ISTE sponsored STTPs on emerging trends in data science, data security, and applications of mathematics in engineering, as well as FDPs on topics like blockchain technology, software project management, and natural language processing. These programs have been instrumental in enhancing her teaching methodologies and research capabilities.

ACADEMIC CONTRIBUTIONS AND SERVICE

Beyond her teaching and research, Mrs. Avhad has been involved in various academic and administrative roles. She has served as a Paper-Setter for University of Mumbai and K. J. Somaiya Institute of Engineering and Information Technology, anchored official, technical, and cultural programs, and worked as an examiner and moderator for university examinations. Her contributions also extend to supporting departmental committees and mentoring students in their academic and research pursuits.

NOTABLE PUBLICATION

Prediction of customer churn using machine learning 2022 (2)

Heart Disease Prediction using Machine Learning,7 th International conference on Innovation And Research in Technology & Engineering, ICIRTE

Smart EVM for Reducing Frauds, Based on Face Recognition and Biometric Identification with instant Result 2019