Year: 2023

Orcid Profile

Areas of Specialization:

Reinforcement Learning, Multi-agent systems, Autonomous Vehicle Fleets, Machine Learning, AI, HumanRobot Interaction (HRI), Operator allocation, Scheduling, Experimental Design, Decision support systems, Optimization.

Education

Ph.D. in Electrical and Computer Engineering, canada 2018 – Present

Work Experience:

Graduate Researcher, Autonomous Systems Lab, University of Waterloo, canada 2018 – Present

PROJECTS

Autonomous fleet management with time-varying constraints | Path Planning Jan 2023 – Present

Research Focus

In the realm of Human-Robot Interaction (HRI), our research focus is centered on creating intuitive and effective interfaces between humans and robots, fostering seamless collaboration and enhancing user experience. We delve into the intricacies of how humans and robots communicate, cooperate, and coexist in various environments. Our endeavors encompass understanding human behavior, preferences, and cognitive processes to design robots that can adapt and respond intelligently. We explore novel methods for natural language processing, gesture recognition, and facial expressions analysis, aiming to enable robots to comprehend and interpret human cues accurately. Furthermore, we investigate the development of socially-aware robots capable of perceiving and responding to human emotions. This involves the incorporation of affective computing and emotional intelligence into robotic systems, enhancing their ability to interact empathetically with users. Operator allocation, scheduling, and experimental design are integral components of our research, aiming to optimize the allocation of tasks between humans and robots.

Peer Reviewer & Academic Engagements:

Mr. Abhinav Dahiya citation metrics and indices from Google Scholar are as follows:

Citations: 140 (All), 129 (Since 2018)
h-index: 7 (All), 7 (Since 2018)
i10-index: 6 (All), 5 (Since 2018)

Publications: 9 documents indexed in Scopus

Selective Publications (JOURNALS):

Adaptive Assistance Allocation: Expertise and Influence in Multi-User Task Planning,ICRA-2024 (Under Review)

Optimal Robot Path Planning in Human-Robot Teams with Intermittent Human Availability-Publication date 2023

On the Impact of Interruptions During Multi-Robot Supervision Tasks,Publication date-2023

A survey of multi-agent Human–Robot Interaction systems,Publication date-2022

Scalable Operator Allocation for Multi-Robot Assistance: A Restless Bandit Approach,Publication date-2022

Scheduling Operator Assistance for Shared Autonomy in Multi-Robot Teams,Publication date 2022

The Effect of Robot Decision Making on Human Perception of a Robot in a Collaborative Task
Ali Noormohammadi, Publication date-2021

Incremental Estimation of Users’ Expertise Level Publication date–2019

Positive–negative stiffness actuators ,Publication date-2019

Efficiently tunable positive-negative stiffness actuator,Publication date-2017

Compliant Actuation for Energy Efficient Impedance Modulation,Publication date-2016

Extreme Learning ANFIS for classification problems,Publication date-2015

Özer BEKAROĞLU | Electrochemistry

Published on 05/12/202315/12/2023 by Citation Awards

Professor. Özer BEKAROĞLU: Leading Researcher in Electrochemistry

PhD in University of Basel, Switzerland

Congratulations, Professor. Özer BEKAROĞLU, on winning the esteemed Best Researcher Award from Citation Awards! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!🌿

Professor. Özer BEKAROĞLU an Principal Scientist at University of Basel, Switzerland, stands as a distinguished academic and researcher in the domain of Chemistry. Holding a PhD in Electrochemistry- Physics-Materials Science from University of Basel, their professional journey exemplifies dedication and expertise.🧑‍🔬

Professional Profiles:

Areas of Specialization:

Chemistry, Electrochemistry, Physics, Materials Science

Education

Ph.D. in Coordination Chemistry from the University of Basel in Switzerland in 1963

Work Experience:

Bekaroğlu’s contributions extend beyond his academic roles, as he served as a Guest Professor at various universities in Europe and Japan, contributing to the international exchange of scientific knowledge. His dedication to research is evident in his continued work at Istanbul’s Istinye University, where he focuses on the synthesis and properties of a new class of phthalocyanines since 1985.

Research Focus

In the dynamic field of electrochemistry research, our focus is on pushing boundaries and uncovering innovative solutions to address contemporary challenges. Our research initiatives are centered around several key areas:

Battery Technology Advancements, Electrochemical Sensors and Devices, Green Chemistry Applications, Electrocatalysis for Clean Energy, Electrochemical Kinetics and Mechanisms.

Peer Reviewer & Academic Engagements:

Professor. Özer BEKAROĞLU citation metrics and indices from Google Scholar are as follows:

Citations: 1190 (All), 70 (Since 2018)
h-index: 16 (All), 4 (Since 2018)
i10-index: 17 (All), 12 (Since 2018)

Selective Publications (JOURNALS):

Synthesis, characterization and VOCs adsorption kinetics of diethylstilbestrol-substituted metallophthalocyanines Published Date 2019/2.

Synthesis, Conductivity, and Impedance Studies on Metallophthalocyanines Formed Across Adjacent Rings , Published Date 2019/2/14

Synthesis of phthalocyanines crosswise-substituted with two alkylsulfanyl and two crown-ether Published Date 2001.

Use of combined Hartree–Fock–Roothaan theory in evaluation of lowest states of K [Ar] 4 s 0 3 d 1 and Cr+[Ar] 4 s 0 3 d 5 isoelectronic series over noninteger n-Slater type Published Date 2011/1.

Gas Sensing Properties of bis‐Phthalocyanine Thin Film Published Date 2010/1/21.

Synthesis and characterization of a new azo coupled bis phthalocyanine Published Date 2008.

POSTER PRESENTATIONS-Synthesis and characterization of prymidine substitue rare-earth sandwich phthalocyanines Published Date 2008.

Fizza Ghulam Nabi | Biomedical Engineering

Published on 02/12/202315/12/2023 by Citation Awards

Assist Prof Dr. Fizza Ghulam Nabi : Leading Researcher in Biomedical Engineering

Ph.D in Mechatronic Engineering Universiti Malaysia Perlis (UniMAP), Malaysia

Congratulations, Prof. Herbert Jodlbauer, on winning the esteemed Best Researcher Award from Citation Awards! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!🌿

Professional Profiles:

Areas of Specialization:

Biomedical Engineering

Education

Ph.D. in Mechatronic Engineering Universiti Malaysia Perlis (UniMAP), Malaysia Nov 2015 to 2019 Thesis: “Asthma severity classification from pulmonary acoustic signal for computerized decision support system”

Work Experience:

Assistant Professor (Teaching, Research and Development) Department of Industrial Engineering and Management (DIEM), University of the Punjab Oct. 2019 to Present, Research Associate (Research and Planning) AI Rehab Research Group, University Malaysia Perlis, Mechatronic Engineering Department Nov. 2015 to Aug. 2019

Internships & Training:

Trainee Engineer PEL (pel.com.pk) 26 July 2008 to 26 Aug 2008, Trainee Engineer Packages (www.packages.com.pk) 6 July 2007 to 6 Aug 2007, Trainee Engineer PECO Ltd. (www.peco.com.pk) 18 Aug 2007 to 6 Sep 2007

Peer Reviewer & Academic Engagements:

Assist Prof Dr. Fizza Ghulam Nabi citation metrics and indices from Google Scholar are as follows:

Citations: 116 (All), 115 (Since 2018)
h-index: 6 (All), 6 (Since 2018)
i10-index: 4 (All), 4 (Since 2018)

Publications: 20 documents indexed in Scopus.

Selective Publications (JOURNALS):

Nabi F.G., Sundaraj K., Kiang L.C., Palaniappan R. Characterization and classification of asthmatic
wheeze sounds according to severity level using spectral integrated features, Computers in Biology and
Medicine. (2019)104, PP.52-61 IF: 6.698

Nabi F.G., Sundaraj K., Lam C.K. Identification of asthma severity levels through wheeze sound
characterization and classification using IP features, Biomedical Signal Processing and Control (2019).
IF: 5.076

Nabi F.G., Sundaraj K., Kiang L.C., Palaniappan R., Sundaraj, S. Ahamed, N.U. Artificial intelligence
techniques used for wheeze sounds analysis: Review (2017) IFMBE Proceedings, 58, pp. 37-40.
(Scopus)

Nabi F.G., Sundaraj, K., Kiang, L.C., Palaniappan, R.. Analysis of wheeze sounds during tidal
breathing according to severity levels in asthma patients, Journal of asthma (2019) pp.1-13. IF 2.081

Nabi F.G., Sundaraj K., Lam C.K. Asthma severity identification from pulmonary acoustic signal for
computerized decision support system, Journal of the Pakistan Medical Association (2020). IF: 0.781

Nabi F.G., Sundaraj K, Kiang L.C., Palaniappan R., Sundaraj, S. Wheeze sound analysis using
computer-based techniques: A systematic review (2019) Biomedical Engineering / Biomedizinische
Technik, 64 (1) pp. 1-28. IF: 1.65

Nabi F. G., et al. “Recommendations Related to Wheeze Sound Data Acquisition.” Journal of
Telecommunication, Electronic and Computer Engineering (JTEC) 10.1-13 (2018): 117-120. (Scopus
Journal)

Palaniappan, R., K. Sundaraj, and F. G. Nabi. “An Overview of Breath Phase Detection–Techniques &
Applications.” Journal of Telecommunication, Electronic and Computer Engineering (JTEC) 10.2-7
(2018): 33-36. (Scopus Journal)

Talib, I., K. Sundaraj, C. K. Lam, and F. G. Nabi “Development of a Standalone Application to
Measure Crosstalk in MMG Signals from Forearm Muscles during Wrist Postures.” Journal of
Telecommunication, Electronic and Computer Engineering (JTEC) 10.2-7 (2018): 103-106. (Scopus
Journal)

J. Hussain, K. Sundaraj, Y. F. Low, C. K. Lam, I.Talib, F.G. Nabi Fatigue essment in the Brachii
Muscles During Dynamic Contractions (2017) International Journal of Applied Engineering Research
12, pp. 12403-12408. (Scopus Journal)

Herbert Jodlbauer | Graph Theory

Published on 02/12/202315/12/2023 by Citation Awards

Prof. Herbert Jodlbauer : Leading Researcher in Graph Theory

Principal Scientist at Royal Prince Alfred Hospital, Australia

Herbert Jodlbauer is Professor of Production at the Production Department located at the University of Applied Sciences Upper Austria, Campus Steyr, and heads the Josef Ressel Centre for Data-driven Business Model Innovation. Over the past 20 years, Jodlbauer has conducted research in production systems modelling, simulation, and analysis, production planning strategies, data analytics in production, digitalisation, smart production, and business model innovation. He worked as project manager and key researcher in several R&D projects on (smart) production, process optimisation, Industry 4.0, digital transformation, and business model innovation. Jodlbauer is the scientific head of the multidisciplinary Centre of Excellence for Smart Production at the FH OÖ.

Professional Profiles:

ORCID Profile

Areas of Specialization:

Business, Management and Accounting, Graph Theory

Education

Mechanical Engineering (Dr.), University of Technology Vienna, Austria (1990 – 1992) , Technical Mathematics (Dipl.-Ing.), Johannes Kepler University Linz, Austria (1985 – 1989)

Academic and Professional Career

Head of the Josef Ressel Centre for Data-Driven Business Model Innovation (JRC DDBMI) since 2023, Scientific Head of Centre of Excellence for Smart Production at the University of Applied Sciences Upper Austria since 2014, Professor for Production, University of Applied Sciences Upper Austria, Head of Study for Smart Production and Management (since 1995) and Operations Management (since 2008) since 1995

Qualifications and Experience:

Head of JRC DDBMI and Head of Centre of Excellence for Smart Production, Experience as a scientific project leader in FFG, FWF, and EU projects, Key researcher in numerous projects

Research Focus:

Production Systems Modelling and Analysis, Production Planning Strategies, Simulation Modelling in Manufacturing, Data Analytics in Production, Digitalisation, Smart Production, Business Model Innovation

Memberships / Reviewing and Conference Activities:

Reviewer for IJPR, IJPE, EJOR, CEJOR, EuroCast, ISM, and more, Conference Chair for Industry 4.0 and Smart Manufacturing, Value Chain Management, and more, Member of VHB, ÖGOR, FIBBA, and more

Peer Reviewer & Academic Engagements:

Prof. Herbert Jodlbauer citation metrics and indices from Google Scholar are as follows:

Citations: 1379(All), 808 (Since 2018)
h-index: 26 (All), 26 (Since 2018)
i10-index: 36 (All), 22 (Since 2018)

Publications: 65 documents indexed in Scopus.

Selective Publications (JOURNALS):

Bachmann, N., & Jodlbauer, H. (2023). Iterative business model innovation: A conceptual process model and tools
for incumbents. Journal of Business Research, 168, 114177.

Jodlbauer, H., Brunner, M., Bachmann, N., Tripathi, S., & Thürer, M. (2023). Supply Chain Management: A
Structured Narrative Review of Current Challenges and Recommendations for Action. Logistics, 7(4), 70.

Jodlbauer, H., & Tripathi, S. (2023). Analytical comparison of cross impact steady state, DEMATEL, and page rank
for analyzing complex systems. Expert Systems with Applications, 225, 120154.

Jodlbauer, H., & Tripathi, S. (2023). Due date quoting and rescheduling in a fixed production sequence. International
Journal of Production Research, 1-15.

Tripathi, S., Mittermayr, C., & Jodlbauer, H. (2023). Exploring the time-lagged causality of process variables from
injection molding machines. Procedia Computer Science, 217, 1153-1167.

Brunner, M., Jodlbauer, H., Bachmann, N., & Tripathi, S. (2023). Implementing Virtuality in Production-a Design
Science Approach. Procedia Computer Science, 217, 988-997.

Tripathi, S., Riegler, A., Anthes, C., & Jodlbauer, H. (2022, October). Vsimgen: A Proposal for an Interactive
Visualization Tool for Simulation of Production Planning and Control Strategies. In Proceedings of the Future
Technologies Conference (FTC) 2022, Volume 1 (pp. 731-752). Cham: Springer International Publishing.

Jodlbauer, H., Tripathi S., Brunner, M., & Bachmann, N. (2022). Stability of Cross-Impact Matrices. Technological
Forecasting & Social Change, 182, 121822.

Bachmann, N., Tripathi, S., Brunner, M., & Jodlbauer, H. (2022). The Contribution of Data-Driven Technologies in
Achieving the Sustainable Development Goals. Sustainability, 14(5), 2497.

Fröhler, B., Anthes, C., Pointecker, F., Friedl, J., Schwajda, D., Riegler, A., Tripathi, S., Holzmann, C., Brunner, M.,
Jodlbauer, H., Jetter, H.-C., Heinzl, C. (2022). A Survey on Cross‐Virtuality Analytics. In Computer Graphics
Forum (Vol. 41, No. 1, pp. 465-494).

Kieroth, A., Brunner, M., Bachmann, N., Jodlbauer, H., & Kurz, W. (2022). Investigation on the acceptance of an
Industry 4.0 maturity model and improvement possibilities. Procedia Computer Science, 200, 428-437.
Wolfartsberger, J., Riedl, R., Jodlbauer, H., Haslinger, N., Hlibchuk, A., Kirisits, A., & Schuh, S. (2022). Virtual Reality
als Trainingsmethode: Eine Laborstudie aus dem Industriebereich. HMD Praxis der Wirtschaftsinformatik, 59(1), 295-308.

Tripathi, S., Jodlbauer, H., Mittermayr, C., & Emmert-Streib, F. (2022). Identifying key interactions between process
variables of different material categories using mutual information-based network inference method. Procedia
Computer Science, 200, 1550-1564.

Tripathi, S., Strasser, S., & Jodlbauer, H. (2021). A Network based Approach for Reducing Variant Diversity in
Production Planning and Control. In DATA (pp. 241-251).

Tripathi, S., Muhr, D., Brunner, M., Jodlbauer, H., Dehmer, M., & Emmert-Streib, F. (2021). Ensuring the robustness
and reliability of data-driven knowledge discovery models in production and manufacturing. Frontiers in Artificial
Intelligence, 4, 22.

Tripathi, S., Mittermayr, C., Muhr, D., & Jodlbauer, H. (2021). Large scale predictability analysis of process variables
from injection molding machines. Procedia Computer Science, 180, 545-560.

Muhr, D., Tripathi, S., & Jodlbauer, H. (2021). An adaptive machine learning methodology to determine
manufacturing process parameters for each part. Procedia Computer Science, 180, 764-771.

Jodlbauer, H., & Dehmer, M. (2020). An extension of the reorder point method by using advance demand spike
information. Computers & Operations Research, 124, 105055

Biswaranjan Paital | Zoology

Published on 02/12/202315/12/2023 by Citation Awards

Dr. Biswaranjan Paital : Leading Researcher in Zoology

Assistant Professor at Department of Zoology, CBSH, Odisha University of Agriculture and Technology, India

Congratulations, Dr. Biswaranjan Paital, on winning the esteemed ”Most Cited Author Award’‘ from Citation Awards! Your dedication, innovative research, and scholarly contributions have truly made a significant impact in your field. Your commitment to advancing knowledge and pushing the boundaries of research is commendable. Here’s to your continued success in shaping the future of academia and making invaluable contributions to your field. Well done!🌿

Dr. Biswaranjan Paital an Assistant Professor at Department of Zoology, CBSH, Odisha University of Agriculture and Technology, India, stands as a distinguished academic and researcher in the domain of Biochemistry, Genetics and Molecular Biology. Holding a PhD in Zoology from Odisha University of Agriculture and Technology, their professional journey exemplifies dedication and expertise. 📚. 🌐👨‍🎓

Professional Profiles:

ORCID Profile