Prof Dr. Tony Quek | Networking | Best Researcher Award

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Prof Dr. Tony Quek | Networking | Best Researcher Award

Professor at Networking , Singapore University of Technology and Design, Singapore

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Prof. Dr. Tony Quek pursued his academic journey with a Bachelor of Engineering in Electrical & Electronics Engineering from Tokyo Institute of Technology, Tokyo, Japan, graduating in 1998. He furthered his studies at the same institution, completing a Master of Engineering in Information Processing from April 1998 to March 2000, focusing on Multiuser Detection for DS-CDMA Mobile Communication Systems under the guidance of Professor Hiroshi Suzuki. Dr. Quek’s academic pursuits led him to Massachusetts Institute of Technology (MIT), Cambridge, MA, where he obtained his Ph.D. in Electrical Engineering and Computer Science from September 2002 to February 2008. His doctoral research centered on Efficient Approaches to Robust and Cooperative Wireless Network Design, mentored by Professor Moe Z. Win.

Research Interest:

Dr. Tony Quek’s general research interests revolve around applying mathematical, optimization, learning, and statistical theories to various communication, networking, signal processing, and resource allocation problems. His current research topics include wireless communications and networking, network intelligence, non-terrestrial networks, open radio access networks, and 6G technology. He explores innovative approaches to enhance the efficiency, reliability, and intelligence of communication systems, with a focus on advancing the capabilities of future wireless networks.

Awards & Honors:

Dr. Tony Quek has received numerous honors and awards for his outstanding contributions to the field of electrical engineering and computer science. In 2023 and 2022, he was recognized as one of the World’s Top 2% Scientists. In 2022, he was elected as a Fellow of the Academy of Engineering Singapore and received the IEEE Signal Processing Society Best Paper Award. The year 2021 brought further accolades, including the OpenGov Recognition of Excellence and another recognition as one of the World’s Top 2% Scientists. In 2020, Dr. Quek was awarded the Nokia Visiting Professorship, recognized as a Clarivate Analytics Highly Cited Researcher, and received the IEEE Stephen O. Rice Prize in the Field of Communications Theory, among other honors. His contributions have been consistently recognized, including being elected as an IEEE Fellow in 2018 for his contributions to heterogeneous and wireless networks. Dr. Quek has also served as a Distinguished Lecturer for the IEEE Communications Society.

Experience:

Dr. Tony Quek has held several significant roles in academia and research. Since December 2022, he has served as the STEngineering Distinguished Professor at Singapore Technologies Engineering. Prior to this, Dr. Quek was appointed as the Director of the Future Communications R&D Programme at the Singapore University of Technology and Design (SUTD) in May 2021. He also served as the Interim Programme Director for the Design and Artificial Intelligence Programme at SUTD from April 2020 to December 2020. In March 2020, Dr. Quek was appointed as a Full Professor in the Information Systems Technology and Design Pillar at SUTD, where he currently holds the position of Head of Pillar. His work in these roles has contributed significantly to the advancement of research and education in the field of electrical engineering and computer science.

Teaching Experience:

Dr. Tony Quek has an extensive teaching experience at the Singapore University of Technology and Design (SUTD) in the ISTD and ESD Pillars. Since January 2013, he has taught several courses including “Modelling the Systems World” (Term 3, 2013, 2014, 2015), “The Digital World” (Term 3, 2014, 2016), and “Introduction to Probability and Statistics” (Term 5, 2018, 2019). His teaching contributions have been instrumental in shaping the learning experiences of students in the areas of modelling, digital systems, and probability and statistics, helping them develop a strong foundation in these subjects.

Publications:

  1. Enhanced intercell interference coordination challenges in heterogeneous networks
    • Authors: D Lopez-Perez, I Guvenc, G De la Roche, M Kountouris, TQS Quek, …
    • Citations: 1306
    • Year: 2011
  2. Federated learning with differential privacy: Algorithms and performance analysis
    • Authors: K Wei, J Li, M Ding, C Ma, HH Yang, F Farokhi, S Jin, TQS Quek, HV Poor
    • Citations: 1244
    • Year: 2020
  3. Offloading in mobile edge computing: Task allocation and computational frequency scaling
    • Authors: TQ Dinh, J Tang, QD La, TQS Quek
    • Citations: 881
    • Year: 2017
  4. Energy efficient heterogeneous cellular networks
    • Authors: YS Soh, TQS Quek, M Kountouris, H Shin
    • Citations: 676
    • Year: 2013
  5. Sensor OpenFlow: Enabling software-defined wireless sensor networks
    • Authors: T Luo, HP Tan, TQS Quek
    • Citations: 614
    • Year: 2012
  6. Scheduling policies for federated learning in wireless networks
    • Authors: HH Yang, Z Liu, TQS Quek, HV Poor
    • Citations: 522
    • Year: 2019

Mr. MOHAMMED ALHARBAI | Mathematics | Best Researcher Award

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Mr. MOHAMMED ALHARBAI | Mathematics | Best Researcher Award

Riyadh at Mathematics , Prince Sattam bin Abdulaziz University, Saudi Arabia

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Mr. Mohammed Alharbai pursued a Master’s degree in Dynamic Systems and their Applications in the field of digital image encryption and mathematical models of epidemics at the College of Science and Humanities, Prince Sattam bin Abdulaziz University, Al-Kharj, Kingdom of Saudi Arabia, from 2018 to the present. Prior to this, he completed a Pre-Master’s program in Mathematics at the same institution in 2017-2018, achieving a grade of Very Good. His academic journey began with a Bachelor’s degree in Applied Mathematics, which he pursued at the College of Science, Al Qussaim University, Kingdom of Saudi Arabia, from 2013 to 2016, where he graduated with honors, achieving an Excellent with Honors classification.

Experience:

Mr. Mohammed Alharbai has been serving as a Mathematics Teacher at a secondary school in Medina, Kingdom of Saudi Arabia, since 2017. In this role, he is responsible for delivering instruction in mathematics to students, likely spanning various grade levels. His work involves creating and implementing lesson plans, assessing student progress, and providing necessary support and guidance to help students achieve academic success in mathematics. As a dedicated educator, Mr. Alharbai contributes to the educational development of students in the field of mathematics, aiming to instill a strong understanding of mathematical concepts and principles.

Skills:

Mr. Mohammed Alharbai has developed a range of computer skills, including proficiency in MatLab and Latex. He also holds an International Computer Driving Licence (ICDL). Additionally, he has dedicated himself to self-development, having attended numerous courses between 2016 and 2024. These courses covered a diverse array of topics, such as critical thinking skills, information technology, economics and finance, reflective teaching, basics of scientific research, skills for preparing a research plan, and scientific research methodologies and approaches.

Work Experience:

Mr. Mohammed Alharbai has gained a diverse range of work experiences, including the integration of technology in teaching practices. He possesses expertise in designing and implementing exam and student evaluation systems, as well as handling crisis management situations effectively. Furthermore, he is involved in developing guidelines for quality management system documentation. With a strong background in scientific research, he has experience in international publication and scientific writing, demonstrating his proficiency in communicating research findings effectively.

Dr. Amalesh Kumar Manna | Mathematics | Best Research Award

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Dr. Amalesh Kumar Manna | Mathematics | Best Research Award

Assistant Professor at Mathematics , Kalinga Institute of Industrial Technology (KIIT), India

👨‍🎓He remarkable academic journey, extensive research contributions, and dedication to the field of psychology are truly commendable. Your wealth of knowledge and diverse skill set reflect a deep commitment to understanding and addressing critical issues such as bullying, inclusion, and socialization.

🔬 He successful completion of a PhD in Psychology, along with the numerous advanced courses and workshops, showcases your continuous pursuit of excellence and expertise in your field.

🏆 The awards and recognitions, including the First Place in the Poster Award at the University of Stavanger, underscore the impact of your research and the high regard it holds in the academic community.

Professional Profiles:

Education:

Ph.D. in Mathematics from Vidyasagar University, West Bengal, India (2012–2017) B.Ed. with First Class from Purba Medinipur B.Ed. College, West Bengal, India (2011–2012) M.Sc. in Mathematics with First Class from Vidyasagar University, West Bengal, India (2008–2010) B.Sc. in Mathematics with First Class from Mahishadal Raj College, West Bengal, India (2005–2008) Higher Secondary in Science with First Division from West Bengal Council of Higher Secondary Education, West Bengal, India (2002–2005) Secondary with First Division from West Bengal Board of Secondary Education, West Bengal, India (2000–2002)

Experience:

Associate Professor, Department of Basic Science and Humanities, University of Engineering & Management Kolkata, Kolkata-700091, West Bengal, India (2023–present) Assistant Professor, Department of Mathematics, C. V. Raman Global University, Bhubaneswar-752054, Odisha, India (2021–2023) UGC-Dr. D. S. Kothari Post-Doctoral Fellow, Department of Mathematics, The University of Burdwan, West Bengal, India (2019–2021) Ph.D. Student, Department of Applied Mathematics with Oceanology and Computer Programming, Vidyasagar University, West Bengal, India (2012–2017) Guest Lecturer, Department of Mathematics, Mahishadal Raj College, West Bengal, India (2010–2012).

Amalesh Kumar Manna ‘s citation metrics and indices from Google Scholar are as follows:

  • Cited by: All: 1017, Since 2018: 957
  • Citations: 1017 (All), 957(Since 2018)
  • h-index: 19 (All), 19 (Since 2018)
  • i10-index: 25 (All), 25 (Since 2018)

These metrics showcase the impact of Manna ‘s work within the academic community, demonstrating the number of citations his publications have received and the influence of his research output.

Awards and Achievements:

March 2019: UGC-Dr. D. S. Kothari Post-Doctoral Fellowship, No.F.4-2/2006 (BSR)/MA/18-19/0023 2008-2010: West Bengal Govt. Merit-Cum-Means Fellowship for M.Sc. Course March 2012: Qualified Graduate Aptitude Test in Engineering (GATE) with AIR-332 March 2011: Qualified Graduate Aptitude Test in Engineering (GATE) with AIR-342 March 2010: Qualified Graduate Aptitude Test in Engineering (GATE) with AIR-317

Computer Skill:

Dr. Amalesh Kumar Manna is proficient in various operating systems, software, programming languages, and human languages, including:

  • Operating Systems: Windows, Linux
  • Software: LaTeX, Texmaker, Mathematica, LINGO
  • Programming Languages: C++, PSO
  • Languages: English, Hindi, Bengali

Research Area:

Dr. Amalesh Kumar Manna‘s research expertise encompasses a range of topics, including:

  • Ph.D. in Optimization, Inventory, Manufacturing inventory model, Supply chain model, Application of fuzzy mathematics on inventory and supply chain model
  • Post-doc research in Optimization of inventory problem, production inventory problem via meta-heuristic algorithm, Green manufacturing inventory model, Green supply chain model, Application of interval mathematics and interval differential equation on inventory and production inventory model

Publications:

Imperfect production inventory model with production rate dependent defective rate and advertisement dependent demand

  • Published in Energy in 2017 with 132 citations.

An application of preservation technology in inventory control system with price dependent demand and partial backlogging

  • Published in Energy in 2020 with 94 citations.

Supply chain coordination model for green product with different payment strategies: a game theoretic approach

  • Published in Energy in 2021 with 64 citations.

An inventory model for non-instantaneous deteriorating items with preservation technology and multiple credit periods-based trade credit financing via particle swarm optimization

  • Published in Energy in 2021 with 58 citations.

An application of interval differential equation on a production inventory model with interval‐valued demand via center‐radius optimization technique and particle swarm …

  • Published in Energy in 2020 with 53 citations.

Multi-item EPQ model with learning effect on imperfect production over fuzzy-random planning horizon

  • Published in Energy in 2017 with 41 citations.

Three-layer supply chain in an imperfect production inventory model with two storage facilities under fuzzy rough environment

  • Published in Energy in 2014 with 41 citations.

Two layers supply chain in an imperfect production inventory model with two storage facilities under reliability consideration

  • Published in Energy in 2018 with 38 citations.