Lisandro von Mühlen | Environmental | Best Researcher Award

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Dr. Lisandro von Mühlen | Environmental | Best Researcher Award

Dr. Lisandro von Mühlen, Federal University of Rio Grande do Sul, Brazil

Dr. Lisandro von Mühlen is a dedicated chemist specializing in analytical chemistry. He currently serves as a Laboratory Technician at the Federal University of Rio Grande do Sul, contributing to the Laboratory of Inspection and Technology of Milk and Dairy Products, Eggs, and Honey within the Veterinary School. Dr. von Mühlen’s professional journey encompasses significant roles in both academia and industry, reflecting his commitment to advancing chemical sciences.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Dr. Lisandro von Mühlen

Dr. Lisandro von Mühlen exhibits a strong foundation in analytical chemistry, with meaningful research contributions and international experience. To strengthen his candidacy for the Best Researcher Award, focusing on expanding his publication record and assuming research leadership roles would be beneficial.

Education 🎓

Dr. von Mühlen’s academic path is marked by a strong foundation in chemistry. He earned his Bachelor’s degree in Industrial Chemistry from the Federal University of Santa Maria (UFSM) in 2013, during which he completed a pivotal internship at Petrobras’s CENPES in the Hydrorefining and Special Processes department. He furthered his studies with a Master’s degree in Chemistry from UFSM, focusing on analytical chemistry. His doctoral research at UFSM, completed in 2023, centered on the determination of pharmaceuticals in hospital effluents using advanced UHPLC-MS/MS techniques, under the guidance of Dr. Osmar Damian Prestes.

Experience 🧪

Dr. von Mühlen’s professional experience bridges both industrial and academic settings. From 2013 to 2014, he contributed to Petrobras, focusing on the development and evaluation of catalysts for hydrotreatment processes. He then advanced to roles at Philip Morris Brazil between 2016 and 2019, where he was instrumental in quality control laboratories, ensuring product compliance and safety. Since 2019, he has been a Laboratory Technician at the Federal University of Rio Grande do Sul, where he applies his expertise to the analysis and quality assessment of dairy products, eggs, and honey.

Research Interests 🔬

Dr. von Mühlen’s research interests are deeply rooted in analytical chemistry, with a particular emphasis on environmental applications. He has focused on the detection and quantification of pharmaceutical contaminants in water systems, employing advanced techniques such as UHPLC-MS/MS. His work aims to assess environmental risk quotients and develop miniaturized methods for chemical oxygen demand determination, contributing to more sustainable and efficient analytical practices. Additionally, he has explored the adsorption behaviors of polycyclic aromatic hydrocarbons, enhancing the understanding of pollutant interactions in various matrices.

Awards 🏆

Throughout his career, Dr. von Mühlen has been recognized for his academic excellence and research contributions. He was awarded scholarships from the National Council for Scientific and Technological Development (CNPq) during his undergraduate and master’s studies, acknowledging his potential in scientific research. His doctoral studies were supported by a scholarship from the Coordination for the Improvement of Higher Education Personnel (CAPES), reflecting his commitment to advancing knowledge in analytical chemistry.

Top Noted Publications 📄

Dr. von Mühlen has contributed to several scientific publications that underscore his research endeavors:

  • “Combining Analytical Strategies to Provide Qualitative and Quantitative Analysis and Risk Assessment on Pharmaceuticals and Metabolites in Hospital Wastewaters” (2025) – Processes

    • Focus: Integrated analytical approaches to assess pharmaceutical contaminants in hospital wastewater.
    • Key Contribution: Provides both qualitative and quantitative analysis for effective risk assessment.
    • Application: Environmental pollution control and regulatory compliance.

  • “Miniaturized Method for Chemical Oxygen Demand Determination Using PhotoMetrix PRO Application” (2022) – Molecules

    • Focus: A miniaturized approach to COD analysis.
    • Key Contribution: Enhances efficiency and sustainability in environmental monitoring.
    • Application: Water quality assessment and pollution monitoring.

  • “Determination of the Titratable Acidity and the pH of Wine Based on Potentiometric Flow Injection Analysis” (2013) – Talanta

    • Focus: Potentiometric flow injection analysis for wine acidity and pH measurement.
    • Key Contribution: Contributes to quality control in the beverage industry.
    • Application: Winemaking and food quality assurance.

  • “Efficient Synthesis of 3-Selanyl- and 3-Sulfanylindoles Employing Trichloroisocyanuric Acid and Dichalcogenides” (2012) – Tetrahedron

    • Focus: Synthetic methodologies for indole derivatives.
    • Key Contribution: Advances pharmaceutical chemistry by developing novel compounds.
    • Application: Drug discovery and organic synthesis.

Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

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Prof. Dr. Ewa Wanda Ziemba | Smart Solutions | Best Paper Award

Prof. Dr. Ewa Wanda Ziemba, University of Economics in Katowice, Poland

Prof. Ewa Wanda Ziemba is a distinguished Full Professor of Management at the University of Economics in Katowice, Poland. She holds multiple academic degrees, including a Ph.D. and postdoctoral habilitation in Economics, and has extensive expertise in social science, management, and information technologies. With a research focus on information systems and technologies for business, public administration, and sustainable development, she has published over 240 peer-reviewed papers, authored three books, and edited 24 volumes. Prof. Ziemba has played a pivotal role in more than 40 prestigious Polish and international research projects and is recognized for her contributions to the academic community, receiving numerous awards for her research excellence. She serves on the editorial boards of various international journals and is a member of the European Academy of Sciences and Arts. Prof. Ziemba is highly regarded in her field, being included in the top-cited scientists list by Stanford University in 2021.

Professional Profile:

SCOPUS

Summary of Suitability for the Best Paper Award: Prof. Ewa Ziemba, Ph.D., D.Sc.

Prof. Ewa Ziemba is an outstanding candidate for the Best Paper Award due to her significant contributions to the fields of management and information systems over the past decade. As a Full Professor at the University of Economics in Katowice, she has demonstrated expertise in critical areas such as ICT adoption, sustainable development, and management information systems. Her research aligns with contemporary trends in technology and management, focusing on the intersection of information systems and societal development.

Education 🎓

  • M.Sc. in Economics (1984)
    University of Economics in Katowice
  • Ph.D. in Economics (1998)
    University of Economics in Katowice
  • Post Ph.D. (Habilitation) in Economics (2010)
    University of Economics in Katowice
  • Professor in Economics (2018)

Work Experience 💼

  • Full Professor
    University of Economics in Katowice (2019 – Present)
  • Head of Department of Business Informatics and International Accounting
    University of Economics in Katowice (2016 – Present)
  • Associate Professor
    University of Economics in Katowice (2011 – 2019)
  • Assistant Professor
    University of Economics in Katowice (1999 – 2011)
  • Assistant
    University of Economics in Katowice (1984 – 1999)
  • Ordinary Member
    European Academy of Sciences and Arts (2021 – Present)
  • Vice Head
    Silesian International School of Commerce (2009 – 2011)
  • Associate Professor, Head of Department of Informatics
    WSB University in Poznań (2004 – 2011)

Achievements 🌟

  • Published over 240 peer-reviewed papers, 3 books, and 24 edited volumes.
  • Included in the top 2% cited scientists list by Stanford University (2021).
  • Instrumental role in over 40 prestigious research projects.
  • Research expert for several organizations, including the National Centre for Research and Development in Poland and the Academy of Finland.

Awards and Honors 🏆

  • Prize of Polish Minister of Science and Higher Education for Excellent Research Achievement.
  • Excellence in Research & Scholarship Award.
  • Fellow & Distinguished Scholar Award.
  • 6 Silver and Bronze Journal Editor Awards.
  • 27 Awards of the Rector of the University of Economics in Katowice.
  • 10 Best Research Paper Awards, including recognition at the 30th International Conference on Information Systems Development (ISD’2022).

Publication Top Notes:

Behavioral Intention and Use of ChatGPT Among Accounting and Finance Students: A Two-Year Comparative Study

The determinants of ChatGPT usage among accounting students: the role of habit, social influence, and facilitating conditions

Environmental sustainability driven by ICTs: A Perspective of Enterprises and Government Units

Leveraging artificial intelligence to meet the sustainable development goals

Acceptance and Use of ChatGPT Among Accounting and Finance Higher Education Students

Dr. Ehsan Adibnia | Photonic Crystals Awards | Best Researcher Award

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Dr. Ehsan Adibnia | Photonic Crystals Awards | Best Researcher Award 

Dr. Ehsan Adibnia, University of Sistan and Baluchestan, Iran

Ehsan Adibnia is a dedicated academic researcher specializing in electrical engineering, with a focus on artificial intelligence, machine learning, deep learning, nanophotonics, and plasmonics. He obtained his Ph.D. from the University of Sistan and Baluchestan in Zahedan, Iran, in 2024, after completing his Bachelor’s degree in the same field in 2014. Ehsan actively engages in research projects, leveraging programming languages such as Python and MATLAB, and employing simulation software like Lumerical, COMSOL, and RSoft to implement algorithms and analyze data. His expertise spans various interdisciplinary applications, including optics, optoelectronics, metamaterials, and biosensors. Additionally, he has contributed to the academic community as a member of the executive committee for the 27th Iranian Conference on Optics and Photonics and the 13th Iranian Conference on Photonic Engineering and Technology, further demonstrating his commitment to advancing research and collaboration in the field.

Professional Profile:

ORCID

Research for Best Researcher Award 

Profile Overview: Ehsan Adibnia is an academic researcher with a Ph.D. in electrical engineering from the University of Sistan and Baluchestan, specializing in interdisciplinary fields such as artificial intelligence, machine learning, nanophotonics, and optics. His strong background in these areas, combined with hands-on research experience, positions him as a leading contributor to advancements in photonics and related technologies.

Education 🎓

  • Ph.D. in Electrical Engineering
    University of Sistan and Baluchestan, Zahedan, Iran (2024)
  • B.S. in Electrical Engineering
    University of Sistan and Baluchestan, Zahedan, Iran (2014)

Work Experience 💼

  • Academic Researcher
    Currently engaged in research projects focusing on artificial intelligence, machine learning, deep learning, nanophotonics, physics, optics, and plasmonics.

Achievements 🌟

  • Member of the Executive Committee
    Participated in organizing the 27th Iranian Conference on Optics and Photonics and the 13th Iranian Conference on Photonic Engineering and Technology, hosted by Sistan and Baluchestan University.

Publication Top Notes:

Chirped apodized fiber Bragg gratings inverse design via deep learning

A Compact and Fast Resonant Cavity-Based Encoder in Photonic Crystal Platform

High-speed all-optical symmetric 4 × 2 encoder using interface effects in two-dimensional photonic crystals

Nanophotonic structure inverse design for switching application using deep learning

Highly sensitive label-free biosensor: graphene/CaF<sub>2</sub> multilayer for gas, cancer, virus, and diabetes detection with enhanced quality factor and figure of merit

Dr. Xueting Luo | Wireless Tracking Awards | Best Researcher Award

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Dr. Xueting Luo | Wireless Tracking Awards | Best Researcher Award 

Dr. Xueting Luo, School of Electronic and Information Engineering, Hebei University of Technology, China

Luo Xueting is a dedicated graduate student at Hebei University of Technology, specializing in Electronic Science and Technology with a focus on photoelectric communication. She previously studied at Tianjin University of Science and Technology, where she earned both her Master’s and Bachelor’s degrees in Electronic Information and Electronic Information Engineering, respectively, achieving impressive academic results and ranking in the top 8% and 10% of her class. Xueting’s research contributions include a published paper in the journal of Electronics on a large-bandwidth lithium niobate electro-optic modulator for frequency-division multiplexing RFID systems. She has actively participated in innovation and entrepreneurship competitions, earning multiple accolades for her team’s project on a thin film lithium niobate acousto-optic modulator. With nearly two years of internship experience at the Quanzhou Tianjin University Integrated Circuit and Artificial Intelligence Research Institute, she has gained practical skills in the production and testing of electro-optic modulators, contributing to several patented innovations. Proficient in both Chinese and English, Xueting is also skilled in various software tools for simulation and design. Outside of her academic pursuits, she enjoys music, playing badminton, basketball, and billiards, reflecting her diverse interests and well-rounded character.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award: Luo Xueting

Luo Xueting is an exemplary candidate for the Best Researcher Award, demonstrating a strong commitment to excellence in electronic science and technology, particularly in the field of photoelectric communication. Here are the key points that highlight his qualifications.

Education 🎓

  • Hebei University of Technology (2024 – Present)
    • Graduate Major: Electronic Science and Technology
    • Research Direction: Photoelectric Communication
  • Tianjin University of Science and Technology (2021 – 2024)
    • Graduate Major: Electronic Information
    • Research Direction: Photoelectric Communication
    • Exam Results: 3.79 (87.89 average)
    • Ranked in the top 8% of major
  • Tianjin University of Science and Technology (2017 – 2021)
    • Undergraduate Major: Electronic Information Engineering
    • Exam Results: 3.6 (86 average)
    • Ranked in the top 10% of major
    • Notable Scores:
      • Signal Processing Software Design: 92%
      • Digital Signal Processing: 94%
      • Digital Electronic Technology: 97%
      • DSP Principle and Application: 97%

Work Experience 💼

  • Intern
    Quanzhou Tianjin University Integrated Circuit and Artificial Intelligence Research Institute (2023)

    • Gained training and familiarity with the production and testing process of electro-optic modulators
    • Authorized Patents:
      • Preparation Method of Internal Electrode Type Thin Film Lithium Niobate Electro-Optic Modulator: CN 116626922B
      • Waveguide Matrix Thin Film Lithium Niobate Electro-Optic Modulator: CN 116626923B
      • Multi-Mode Matrix Micro Nano Universal Fiber: 202321922225.3
    • Patent Applications:
      • A Multi-Layer Nested Tapered Electrode Lithium Niobate Electro-Optic Modulator and Its Preparation Process: CN 116819806A
      • A Y-Waveguide Modulator Half-Wave Voltage Test System: CN 116840543A

Achievements 🏆

  • Publication:
    • “Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems” (2024)
  • College Students’ Innovation and Entrepreneurship Competition:
    • Gold Medal in School Competition 🥇
    • Gold Medal in Provincial Competition 🥇
    • Bronze Medal in International Competition 🥉
    • Contributed to the discussion and fabrication of a thin film lithium niobate acousto-optic modulator

Awards and Honors 🥇

  • Ranked in the top 8% of major in Graduate Studies at Tianjin University of Science and Technology
  • Ranked in the top 10% of major in Undergraduate Studies at Tianjin University of Science and Technology

Publication Top Notes:

Large-Bandwidth Lithium Niobate Electro-Optic Modulator for Frequency-Division Multiplexing RFID Systems

Sławomir Michałkiewicz | Electrochemistry | Best Researcher Award

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Assoc. Prof. Dr. Sławomir Michałkiewicz | Electrochemistry | Best Researcher Award 

Assoc. Prof. Dr. Sławomir Michałkiewicz, Jan Kochanowski University in Kielce, Poland

Dr. Sławomir Michalkiewicz is a highly esteemed chemist and professor at the Institute of Chemistry at Jan Kochanowski University in Kielce, Poland. With a career spanning over three decades, he specializes in the electrochemical properties and voltammetric determination of biochemically active substances. Dr. Michalkiewicz earned his habilitated doctorate in chemical sciences in 2013 and has since contributed significantly to advancing analytical chemistry. His work is renowned for its practical applications in biochemical research.

Professional Profile

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ORCID

Researcher Suitability Summary for Best Researcher Award

Dr. Michalkiewicz has an extensive academic background with a Ph.D. and habilitation in chemical sciences from prestigious institutions. His progression from a Ph.D. to a habilitated doctorate demonstrates his commitment to advancing his expertise. His work on the electrochemical properties and voltammetric determination of biochemically active substances is highly relevant in chemical sciences and has potential applications in healthcare, environmental science, and industrial processes.

Education 🎓

Dr. Michalkiewicz completed his undergraduate studies in chemistry in 1989 at the Faculty of Mathematics and Natural Sciences of the Higher Pedagogical School in Kielce. He pursued his PhD in chemical sciences at Maria Curie-Skłodowska University in Lublin, graduating in 1998. Later, in 2013, he earned his habilitated doctorate at AGH University of Science and Technology in Kraków. His academic journey reflects his dedication to mastering and contributing to chemical sciences.

Experience 👨‍🏫

Dr. Michalkiewicz serves as a professor at the Institute of Chemistry at Jan Kochanowski University in Kielce, Poland. With extensive teaching and research experience, he mentors future chemists and spearheads studies in electrochemical analysis. His career milestones include impactful academic positions and collaborations with notable research institutions.

Research Interests 🔬

Dr. Michalkiewicz’s research delves into the electrochemical properties and voltammetric determination of biochemically active substances. His work explores advanced techniques in analytical chemistry, with implications for biochemical and medical fields. His research not only pushes the boundaries of voltammetry but also addresses pressing challenges in biochemical analysis.

Awards 🏆

Dr. Michalkiewicz’s contributions to chemical sciences have been recognized with multiple awards. His groundbreaking work in electrochemical research and analytical chemistry has brought him national and international acclaim. His accolades affirm his commitment to advancing scientific understanding.

Publications Top Notes 📚

Ruthenium Complexes with Pyridazine Carboxylic Acid: Synthesis, Characterization, and Anti-Biofilm Activity

TCNQ and Its Derivatives as Electrode Materials in Electrochemical Investigations—Achievement and Prospects: A Review

Application of a Carbon Fiber Microelectrode as a Sensor for Apocynin Electroanalysis

Synthesis, Characterization and Biological Investigations of Half-Sandwich Ruthenium(II) Complexes Containing Benzimidazole Moiety

Electrochemical Characterization and Voltammetric Determination of Methylisothiazolinone on a Boron-Doped Diamond Electrode

Carbon materials in electroanalysis of preservatives: A review

 

Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Award

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Dr. Caixia Cai | Green Connectivity Awards | Best Researcher Award 

Dr. Caixia Cai, Shanghai Maritime University, China

Caixia Cai, also known as Jessica Cai, is a dedicated lecturer at Shanghai Maritime University, where she has been contributing to the field of information and communication intelligence systems since September 2020. she completed her B.S. in Communication Engineering at East China Jiaotong University in 2013, focusing on the design and implementation of local network systems based on GSM for railway applications. Cai pursued her Ph.D. at Donghua University, where she researched energy efficiency in wireless networks using cooperative relay systems under the supervision of Professor Runhe Qiu. Additionally, she was a joint Ph.D. student at the University of Delaware, collaborating with Professor Xiang-Gen Xia on mathematical theories and methods in wireless communications. Her research interests encompass multiple-input multiple-output (MIMO) systems, cooperative relays, green communication in wireless networks, and underwater acoustic sensor networks. Cai actively contributes to the academic community as a volunteer reviewer for several prestigious journals and conferences, including IET Communications and IEEE Transactions on Green Communication and Networking. Her work aims to advance the understanding and efficiency of communication systems, reflecting her commitment to innovation and excellence in the field.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award:

Dr. Caixia Cai is a promising candidate for the Best Researcher Award due to her significant contributions to the field of wireless communications, particularly in energy efficiency and innovative transmission strategies. Currently a lecturer at Shanghai Maritime University, her academic journey includes extensive research experience and collaborative projects at prestigious institutions like the University of Delaware.

🎓 Education

  • Ph.D. Candidate
    Field: Information & Communication Intelligence System
    Institution: Donghua University, Shanghai, China
    Duration: June 2020 – September 2014
    Advisor: Professor Runhe Qiu
    Research Project: Research on Energy Efficiency of Wireless Network Based on Cooperative Relay
  • Joint Ph.D. Student
    Department: Electrical and Computer Engineering
    Institution: University of Delaware, Newark, Delaware, USA
    Duration: September 2017 – September 2019
    Advisor: Professor Xiang-Gen Xia
    Research Project: Mathematical Theory and Methods on Wireless Communications
  • B.S.
    Field: Communication Engineering
    Institution: East China Jiaotong University, Nanchang, China
    Duration: September 2009 – July 2013
    Advisor: Professor Yuejin Zhang
    Research Project: Design and Implementation of Local Network Side Based on GSM-Railway System

💼 Work Experience

  • Lecturer
    Institution: Shanghai Maritime University
    Duration: September 2020 – Present

🏆 Achievements

  • Conducted significant research in areas such as MIMO, cooperative relay, and green communication in wireless networks.
  • Contributed to the development of underwater acoustic sensor networks.

🌟 Awards and Honors

  • Served as a volunteer reviewer for esteemed journals and conferences, including:
    • IET Communications
    • Electrical Letters
    • IEEE Access
    • IEEE Transactions on Green Communication and Networking
    • IEEE Conference on Communication

Publication Top Notes:

Energy-efficient two-way full-duplex relay transmission strategy with SWIPT and direct links

Energy-Efficient Adaptive Bidirectional Transmission Strategy in Simultaneous Wireless Information and Power Transfer (SWIPT)-Enabled Cognitive Relay Network

A REVIEW OF KEY TECHNOLOGIES OF SHORE POWER SYSTEMS

Energy-efficient Full-duplex Transmission Strategy Design with SWIPT

Energy-Efficient Amplify-and-Forward Full-Duplex Transmission Strategy

Yoshinori Otsuki | Gas Analysers | Best Researcher Award

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Mr. Yoshinori Otsuki | Gas Analysers | Best Researcher Award

Department Manager at HORIBA, Ltd., Japan 

Yoshinori Otsuki, born on April 25, 1979, in Japan, is a seasoned engineer specializing in automotive emissions measurement systems. With over 20 years of experience at HORIBA, LTD., he has played pivotal roles ranging from electrical designer to department manager. Otsuki’s extensive expertise encompasses particulate measurement and sampling systems, where he has led numerous successful projects, collaborating with global automotive OEMs and research institutes. His contributions to the field have earned him recognition as a thought leader in emissions regulations and measurement technology. As a dedicated member of various engineering societies, he actively shares knowledge through presentations at international conferences.

Profile:

Strengths for the Award:

  1. Extensive Experience: Yoshinori Otsuki has over 19 years of experience in research and development, particularly in particulate measurement and sampling systems within the automotive sector. His roles have evolved from an Electrical Designer to a Department Manager, showcasing his growth and leadership capabilities.
  2. Innovative Contributions: He has been involved in the development of multiple products, leading projects and coordinating with automotive OEMs and research institutions. His work on emissions measurement systems reflects a commitment to innovation and industry advancement.
  3. Patents and Publications: Otsuki holds several patents related to emissions measurement and particle counting systems, demonstrating his ability to contribute original ideas to the field. His numerous publications, particularly in prestigious journals, underline his active engagement in research and his contributions to academic discourse.
  4. Global Collaboration: His experience managing global R&D teams, particularly in Europe and Japan, indicates strong collaborative skills and the ability to work in diverse environments. His participation in international working groups and conferences further illustrates his commitment to cross-border research initiatives.
  5. Technical Expertise: With a strong academic background (Bachelor’s and Master’s in Engineering) and proficiency in both Japanese and English, Otsuki combines technical knowledge with effective communication skills, making him a valuable asset in both research and practical applications.

Areas for Improvement:

  1. Broader Engagement with Emerging Technologies: While Otsuki has made significant contributions in his current domain, exploring emerging technologies related to environmental sustainability and alternative energy sources could enhance his research portfolio and relevance in evolving markets.
  2. Networking Beyond Automotive Sector: Expanding his professional network to include researchers and industry experts from fields such as renewable energy, battery technology, or environmental policy could provide new perspectives and collaborative opportunities that may enrich his research endeavors.
  3. Enhanced Visibility in Public Forums: Increasing his participation in public forums or media discussions related to emissions and environmental impact could elevate his profile and influence in the industry, promoting awareness of his research contributions and fostering public understanding of automotive emissions issues.

Education:

Yoshinori Otsuki holds a Bachelor of Engineering from Doshisha University, obtained in March 2002, followed by a Master of Engineering from Kyoto University, completed in March 2004. His educational background in electronic engineering has equipped him with a strong foundation in circuit design and analytical systems. These qualifications have been instrumental in his career, enabling him to develop innovative solutions in automotive emissions measurement and research. Otsuki’s commitment to continuous learning and professional development is evident in his active participation in workshops and conferences related to automotive engineering and environmental science.

Experience:

Yoshinori Otsuki’s professional journey began at HORIBA, LTD. in 2004, where he progressed through various roles. Starting as an Electrical Designer, he quickly transitioned to Automotive Analytical Engineer, leading the development of particulate measurement systems. His leadership roles include R&D Team Leader and Manager of European Product Managers, where he oversaw teams focused on emissions measurement systems. Currently, as Department Manager, he manages R&D teams working on gas and particle analyzers. Otsuki’s experience includes collaboration with automotive OEMs, coordination of research projects, and participation in international working groups, highlighting his expertise and commitment to advancing automotive technologies.

Research Focus:

Yoshinori Otsuki’s research focuses on the measurement of particulate matter and emissions in automotive systems. He is particularly interested in developing innovative methodologies for solid particle number measurement and the analysis of gas emissions. His work addresses emerging regulations such as Euro 7, ensuring compliance and environmental sustainability. Otsuki actively participates in international research collaborations, contributing to projects like HORIZON2020’s PEMs4Nano. Through his publications and presentations, he aims to advance understanding and technologies related to emissions measurement, influencing industry standards and practices in automotive engineering.

Publications Top Notes:

  1. Instability of emery oil particle for 10 nm engine exhaust CPC calibration
  2. Technical Improvements of Portable Emissions Measurement System for Solid Particle Number Larger than 10 nm
  3. Development of On-board Multi-component Gas Analyzer Toward Euro 7
  4. Investigation of Equivalency between Laboratory-Grade and Portable Emissions Measurement Systems in Solid Particle Number Measurement Larger than 10 nm
  5. Measurement of Gaseous Exhaust Emissions of Light-Duty Vehicles in Preparation for Euro 7: A Comparison of Portable and Laboratory Instrumentation
  6. Towards tailpipe sub-23 nm solid particle number measurements for heavy-duty vehicles regulations
  7. Reproducibility of the 10-nm Solid Particle Number Methodology for Light-Duty Vehicles Exhaust Measurements
  8. Assessment of On-Board and Laboratory Gas Measurement Systems for Future Heavy-Duty Emissions Regulations
  9. Single vs Double Stage Partial Flow Dilution System: Automobile PM Emission Measurement

Conclusion:

Yoshinori Otsuki is a highly qualified candidate for the Research for Best Researcher Award. His extensive experience, innovative contributions, and global collaboration make him a standout researcher in the field of automotive emissions measurement. While there are areas for improvement, particularly in expanding his engagement with emerging technologies and enhancing his public profile, his strengths overwhelmingly position him as a deserving recipient of this award. His continued contributions will undoubtedly have a significant impact on both the automotive industry and environmental research.

Dr.KARTHIKEYAN C | Artificial Intelligence | Best Researcher Award

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Dr.KARTHIKEYAN C | Artificial Intelligence | Best Researcher Award

Dr.KARTHIKEYAN C, SAVEETHA INSTITUTE OF MEDICAL AND TECHNICAL SCIENCES, DEEMED UNIVERSITY, India

Dr. C. Karthikeyan is a distinguished Professor in the Department of Computer Science and Engineering at SIMATS University, Chennai, specializing in Artificial Intelligence and Data Science. With over 21 years of teaching experience and 2 years in industry, he has significantly contributed to the academic community. Dr. Karthikeyan holds a Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad. He is a prolific researcher, having published 61 papers in reputable journals and secured multiple patents. His commitment to education extends beyond the classroom, as he has taken on leadership roles, including Dean at ISBAT University, Uganda. Passionate about empowering students and enhancing educational quality, Dr. Karthikeyan is dedicated to advancing research and innovation in computer science.

Professional Profile

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Evaluation of Dr. C. Karthikeyan for the Research for Best Researcher Award

Summary of Suitability

Dr. C. Karthikeyan stands out as a highly qualified candidate for the Research for Best Researcher Award due to his extensive academic background and impressive research output. With a Ph.D. in Computer Science and Engineering, he has accumulated over 61 publications in reputed journals, including 15 in SCI and 20 in WoS. His contributions span various areas, particularly in Artificial Intelligence and Data Science, which align with contemporary research trends.

  🎓  Education 

Dr. C. Karthikeyan’s academic journey reflects his commitment to excellence in the field of computer science. He earned his Ph.D. in Computer Science and Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2017. Prior to this, he completed his M.E. in Computer Science and Engineering from Vinayaka Missions Research Foundation, Salem, in 2008. His foundational education includes an M.C.A. from the University of Madras, Chennai (2002), and a double major in Physics, earning both an M.Sc. (1997) and a B.Sc. (1995) from the same institution. Dr. Karthikeyan’s diverse educational background equips him with a robust understanding of both theoretical and practical aspects of technology, allowing him to contribute effectively to teaching and research in artificial intelligence and data science.

   🏢  Experience 

Dr. C. Karthikeyan has accumulated over 21 years of teaching experience and 2 years in the industry, making him a seasoned educator and professional. Currently, he serves as a Professor in the Department of Computer Science and Engineering at SIMATS University, Chennai, since July 2024. Prior to this, he was a Professor at K.L. University, Vijayawada, from May 2018 to July 2024. His administrative capabilities were showcased during his tenure as Dean at ISBAT University in Uganda, where he led strategic planning and curriculum development. He also held the position of Associate Professor and Head of the Department at Aarupadai Veedu Institute of Technology for 16 years, where he was instrumental in elevating the department’s status and coordinating various academic activities. Additionally, he served as Academics Head at APTECH Computer Education, further enhancing his experience in educational management.

 🏅 Awards and Honors 

Dr. C. Karthikeyan has received numerous awards and recognitions throughout his illustrious career. His research excellence is highlighted by 61 publications in prominent journals, including 15 indexed in SCI and 20 in WoS, showcasing his contributions to artificial intelligence and data science. He has authored two books and contributed chapters to several academic texts, further solidifying his reputation in the field. Dr. Karthikeyan’s innovative spirit is evidenced by his four patents, one of which has been granted, reflecting his commitment to practical applications of research. He is also recognized as a life member of several prestigious professional societies, including IEEE and IACSIT. His proactive involvement in academic committees and continuous professional development exemplifies his dedication to both his field and his students, earning him respect and admiration within the academic community.

Research Focus 

Dr. C. Karthikeyan’s research focus lies primarily in the domains of Artificial Intelligence and Data Science, with a strong emphasis on innovative solutions to real-world problems. His work spans various areas, including machine learning, cognitive computing, and data mining techniques, aimed at enhancing computational efficiency and decision-making processes. He has actively contributed to advancements in automated systems, particularly in healthcare and assistive technologies for visually impaired individuals. Dr. Karthikeyan’s research also investigates the integration of Internet of Things (IoT) with AI to develop smart applications that improve user experiences. His interdisciplinary approach allows him to collaborate with experts in different fields, fostering an environment of innovation and knowledge exchange. Through his research endeavors, he aims to contribute to sustainable development, particularly in renewable energy and smart technology applications, aligning with global efforts towards a more sustainable future.

Publications Top Notes 

Deep learning based capsule neural network model for breast cancer diagnosis using mammogram images
  • Citations: 154
Improved wild horse optimizer with deep learning enabled battery management system for internet of things based hybrid electric vehicles
  • Citations: 56
Active vibration control of a full scale aircraft wing using a reconfigurable controller
  • Citations: 41
Taylor‐AMS features and deep convolutional neural network for converting nonaudible murmur to normal speech
  • Citations: 39
Low rate DDoS mitigation using real-time multi threshold traffic monitoring system
  • Citations: 37

 

Mr Anandarup Roy | Internet of Things | Best Researcher Award

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Mr Anandarup Roy| Internet of Things | Best Researcher Award

Mr Anandarup Roy,Senior Research Fellow, Indian Statistical Institute, Kolkata,India

Anandarup Roy is a Ph.D. candidate in Computer Science at the Indian Statistical Institute (ISI), Kolkata, specializing in combinatorial secret sharing. His thesis was submitted on July 19, 2024, and he expects to receive his degree by December 2024. He is advised by Prof. Bimal Kumar Roy and co-supervised by Prof. Mridul Nandi, both from the Applied Statistics Unit at ISI.

Professional Profile:

Summary of Suitability for the Best Researcher Award:

Anandarup Roy, a Ph.D. candidate at the Indian Statistical Institute, has made significant contributions to the field of computer science, particularly in combinatorial secret sharing. His research extends previous work in Bayesian incentive-compatible mechanism design and social learning, demonstrating a robust understanding of complex statistical models and their applications.

Education

He Naifeng is pursuing a PhD at the prestigious Nanjing University of Aeronautics and Astronautics, where he has built a strong foundation in automation and robotics. His academic journey reflects a commitment to advancing technology in mobile robotics, demonstrating a keen interest in both theoretical knowledge and practical applications.

Work Experience

From 2016 to 2018, Anandarup worked as a project-linked person at the Economics Research Unit of ISI, where he contributed to a project on Bayesian incentive-compatible mechanism design under the supervision of Prof. Manipushpak Mitra. This research extended his master’s thesis by examining learning processes in a social choice environment with risk-neutral agents.

Skills

Anandarup is proficient in using Linux OS (Ubuntu) and LaTeX. He possesses basic programming knowledge in C, making him well-equipped for computational tasks related to his research.

Research Focus

His research focuses on autonomous navigation for wheel-legged robots, with particular emphasis on reinforcement learning in control systems and intelligent motion control. He aims to develop practical applications that enhance the performance and adaptability of mobile robots in challenging environments.

Publication top Notes:

  • Combining Dynamic Selection and Data Preprocessing for Imbalance Learning
    Year: 2018
    Journal: Neurocomputing
    Volume/Pages: 286, 179-192
  • SVM-based Hierarchical Architectures for Handwritten Bangla Character Recognition
    Year: 2009
    Journal: International Journal on Document Analysis and Recognition (IJDAR)
    Volume/Pages: 12, 97-108
  • Lecithin and Venom Haemolysis
    Year: 1945
    Journal: Nature
    Volume/Pages: 155 (3945), 696-697
  • A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words
    Year: 2005
    Journal: Digital Image Computing: Techniques and Applications (DICTA’05)
    Pages: 30-30
  • JCLMM: A Finite Mixture Model for Clustering of Circular-Linear Data and Its Application to Psoriatic Plaque Segmentation
    Year: 2017
    Journal: Pattern Recognition
    Volume/Pages: 66, 160-173
  • An HMM Framework Based on Spherical-Linear Features for Online Cursive Handwriting Recognition
    Year: 2018
    Journal: Information Sciences
    Volume/Pages: 441, 133-151
  • Pair-Copula Based Mixture Models and Their Application in Clustering
    Year: 2014
    Journal: Pattern Recognition
    Volume/Pages: 47 (4), 1689-1697
  • Character Segmentation for Handwritten Bangla Words Using Artificial Neural Network
    Year: 2005
    Journal: Proceedings of the 1st IAPR TC3 NNLDAR
  • SWGMM: A Semi-Wrapped Gaussian Mixture Model for Clustering of Circular–Linear Data
    Year: 2016
    Journal: Pattern Analysis and Applications
    Volume/Pages: 19, 631-645
  • Headline Based Text Extraction from Outdoor Images
    Year: Not specified (conference paper)
    Journal: Pattern Recognition and Machine Intelligence: 4th International Conference

Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

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Dr. Rituraj Patwal | Renewable Energy Award | Best Researcher Award

Dr. Rituraj Patwal, Women Institute of Technology, India

Dr. Rituraj Singh Patwal, born on December 13, 1990, in Haldwani, Uttarakhand, India, is a specialist in Power System Optimization and Renewable Energy Systems. He holds a Ph.D. in Power System Optimization from Thapar Institute of Engineering and Technology, Patiala, where his thesis focused on “Optimal Generation Scheduling of Pumped Storage Hydrothermal Systems with Solar and Wind Energy Sources.” He also completed his M.Tech. in Power Systems from Thapar University and earned his B.Tech. in Electrical Engineering from Dehradun Institute of Technology. Dr. Patwal’s research interests include sustainable energy systems, optimization algorithms, generation scheduling, and renewable energy sources. He has over 9 months of experience as an Assistant Professor at GRD-IMT Dehradun, and has held similar roles at institutions like Meerut Institute of Technology and Thapar Institute of Engineering and Technology. His teaching portfolio includes subjects such as Basic Electrical Engineering, Network Analysis and Synthesis, and Industrial Internet of Things.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Rituraj Singh Patwal is highly suitable for the “Best Researcher Award” in his field based on his robust academic and research credentials. His work in Power System Optimization and Renewable Energy Systems highlights his expertise in areas critical to the energy sector, such as sustainable energy systems, optimization algorithms, generation scheduling, and the integration of renewable energy sources like solar and wind.

Education:

  1. Ph.D. in Power System Optimization
    • Institution: Thapar University
    • Year: 2021
    • Thesis Title: “Optimal Generation Scheduling of Pumped Storage Hydrothermal System with Solar and Wind Energy Sources”
    • Percentage (Course Work): 83%
  2. M.Tech. in Power System
    • Institution: Thapar University
    • Year: 2016
    • Percentage: 76%
  3. B.Tech. in Electrical Engineering
    • Institution: Dehradun Institute of Technology
    • Year: 2012
    • Percentage: 72%
  4. Intermediate (Science)
    • Board: CBSE
    • Year: 2008
    • Percentage: 83%
  5. High School (Science)
    • Board: CBSE
    • Year: 2006
    • Percentage: 86.2%

Work Experience:

  1. Assistant Professor
    • Institution: GRD-IMT, Dehradun
    • Duration: August 2024 – Present (9 months)
  2. Assistant Professor
    • Institution: Meerut Institute of Technology
    • Duration: November 2022 – July 2023 (8 months)
  3. Assistant Professor
    • Institution: Meerut Institute of Engineering and Technology
    • Duration: March 2021 – October 2022 (1 year 8 months)
  4. Lecturer (NT)
    • Institution: Thapar Institute of Engineering and Technology, Patiala
    • Duration: January 2018 – December 2020 (3 years)
  5. Shift Engineer
    • Company: Birla Tyres
    • Duration: July 2012 – April 2013 (10 months)

Publication top Notes:

 

Optimal generation scheduling of pumped storage hydro-thermal system with wind energy sources

Multi-objective generation scheduling of integrated energy system using fuzzy based surrogate worth trade-off approach

Crisscross PSO algorithm for multi-objective generation scheduling of pumped storage hydrothermal system incorporating solar units

Optimal Economic Emission Scheduling of Integrated Energy Systems Using Heuristic Optimization Technique

A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units

Heuristic optimization technique for hydrothermal scheduling considering pumped storage unit